Search (31 results, page 1 of 2)

  • × author_ss:"Larivière, V."
  1. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.02
    0.024640482 = product of:
      0.07392144 = sum of:
        0.07392144 = sum of:
          0.023554565 = weight(_text_:of in 2763) [ClassicSimilarity], result of:
            0.023554565 = score(doc=2763,freq=22.0), product of:
              0.06850986 = queryWeight, product of:
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.043811057 = queryNorm
              0.34381276 = fieldWeight in 2763, product of:
                4.690416 = tf(freq=22.0), with freq of:
                  22.0 = termFreq=22.0
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.046875 = fieldNorm(doc=2763)
          0.05036688 = weight(_text_:22 in 2763) [ClassicSimilarity], result of:
            0.05036688 = score(doc=2763,freq=4.0), product of:
              0.15341885 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.043811057 = queryNorm
              0.32829654 = fieldWeight in 2763, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=2763)
      0.33333334 = coord(1/3)
    
    Abstract
    This article challenges recent research (Evans, 2008) reporting that the concentration of cited scientific literature increases with the online availability of articles and journals. Using Thomson Reuters' Web of Science, the present article analyses changes in the concentration of citations received (2- and 5-year citation windows) by papers published between 1900 and 2005. Three measures of concentration are used: the percentage of papers that received at least one citation (cited papers); the percentage of papers needed to account for 20%, 50%, and 80% of the citations; and the Herfindahl-Hirschman index (HHI). These measures are used for four broad disciplines: natural sciences and engineering, medical fields, social sciences, and the humanities. All these measures converge and show that, contrary to what was reported by Evans, the dispersion of citations is actually increasing.
    Date
    22. 3.2009 19:22:35
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.858-862
  2. Haustein, S.; Sugimoto, C.; Larivière, V.: Social media in scholarly communication : Guest editorial (2015) 0.01
    0.0136975795 = product of:
      0.04109274 = sum of:
        0.04109274 = sum of:
          0.02328536 = weight(_text_:of in 3809) [ClassicSimilarity], result of:
            0.02328536 = score(doc=3809,freq=86.0), product of:
              0.06850986 = queryWeight, product of:
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.043811057 = queryNorm
              0.33988333 = fieldWeight in 3809, product of:
                9.273619 = tf(freq=86.0), with freq of:
                  86.0 = termFreq=86.0
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.0234375 = fieldNorm(doc=3809)
          0.01780738 = weight(_text_:22 in 3809) [ClassicSimilarity], result of:
            0.01780738 = score(doc=3809,freq=2.0), product of:
              0.15341885 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.043811057 = queryNorm
              0.116070345 = fieldWeight in 3809, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0234375 = fieldNorm(doc=3809)
      0.33333334 = coord(1/3)
    
    Abstract
    This year marks 350 years since the inaugural publications of both the Journal des Sçavans and the Philosophical Transactions, first published in 1665 and considered the birth of the peer-reviewed journal article. This form of scholarly communication has not only remained the dominant model for disseminating new knowledge (particularly for science and medicine), but has also increased substantially in volume. Derek de Solla Price - the "father of scientometrics" (Merton and Garfield, 1986, p. vii) - was the first to document the exponential increase in scientific journals and showed that "scientists have always felt themselves to be awash in a sea of the scientific literature" (Price, 1963, p. 15), as, for example, expressed at the 1948 Royal Society's Scientific Information Conference: Not for the first time in history, but more acutely than ever before, there was a fear that scientists would be overwhelmed, that they would be no longer able to control the vast amounts of potentially relevant material that were pouring forth from the world's presses, that science itself was under threat (Bawden and Robinson, 2008, p. 183).
    One of the solutions to help scientists filter the most relevant publications and, thus, to stay current on developments in their fields during the transition from "little science" to "big science", was the introduction of citation indexing as a Wellsian "World Brain" (Garfield, 1964) of scientific information: It is too much to expect a research worker to spend an inordinate amount of time searching for the bibliographic descendants of antecedent papers. It would not be excessive to demand that the thorough scholar check all papers that have cited or criticized such papers, if they could be located quickly. The citation index makes this check practicable (Garfield, 1955, p. 108). In retrospective, citation indexing can be perceived as a pre-social web version of crowdsourcing, as it is based on the concept that the community of citing authors outperforms indexers in highlighting cognitive links between papers, particularly on the level of specific ideas and concepts (Garfield, 1983). Over the last 50 years, citation analysis and more generally, bibliometric methods, have developed from information retrieval tools to research evaluation metrics, where they are presumed to make scientific funding more efficient and effective (Moed, 2006). However, the dominance of bibliometric indicators in research evaluation has also led to significant goal displacement (Merton, 1957) and the oversimplification of notions of "research productivity" and "scientific quality", creating adverse effects such as salami publishing, honorary authorships, citation cartels, and misuse of indicators (Binswanger, 2015; Cronin and Sugimoto, 2014; Frey and Osterloh, 2006; Haustein and Larivière, 2015; Weingart, 2005).
    Furthermore, the rise of the web, and subsequently, the social web, has challenged the quasi-monopolistic status of the journal as the main form of scholarly communication and citation indices as the primary assessment mechanisms. Scientific communication is becoming more open, transparent, and diverse: publications are increasingly open access; manuscripts, presentations, code, and data are shared online; research ideas and results are discussed and criticized openly on blogs; and new peer review experiments, with open post publication assessment by anonymous or non-anonymous referees, are underway. The diversification of scholarly production and assessment, paired with the increasing speed of the communication process, leads to an increased information overload (Bawden and Robinson, 2008), demanding new filters. The concept of altmetrics, short for alternative (to citation) metrics, was created out of an attempt to provide a filter (Priem et al., 2010) and to steer against the oversimplification of the measurement of scientific success solely on the basis of number of journal articles published and citations received, by considering a wider range of research outputs and metrics (Piwowar, 2013). Although the term altmetrics was introduced in a tweet in 2010 (Priem, 2010), the idea of capturing traces - "polymorphous mentioning" (Cronin et al., 1998, p. 1320) - of scholars and their documents on the web to measure "impact" of science in a broader manner than citations was introduced years before, largely in the context of webometrics (Almind and Ingwersen, 1997; Thelwall et al., 2005):
    There will soon be a critical mass of web-based digital objects and usage statistics on which to model scholars' communication behaviors - publishing, posting, blogging, scanning, reading, downloading, glossing, linking, citing, recommending, acknowledging - and with which to track their scholarly influence and impact, broadly conceived and broadly felt (Cronin, 2005, p. 196). A decade after Cronin's prediction and five years after the coining of altmetrics, the time seems ripe to reflect upon the role of social media in scholarly communication. This Special Issue does so by providing an overview of current research on the indicators and metrics grouped under the umbrella term of altmetrics, on their relationships with traditional indicators of scientific activity, and on the uses that are made of the various social media platforms - on which these indicators are based - by scientists of various disciplines.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 67(2015) no.3, S.260-288
  3. Larivière, V.; Gingras, Y.; Sugimoto, C.R.; Tsou, A.: Team size matters : collaboration and scientific impact since 1900 (2015) 0.00
    0.0047346456 = product of:
      0.014203937 = sum of:
        0.014203937 = product of:
          0.028407874 = sum of:
            0.028407874 = weight(_text_:of in 2035) [ClassicSimilarity], result of:
              0.028407874 = score(doc=2035,freq=32.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.41465378 = fieldWeight in 2035, product of:
                  5.656854 = tf(freq=32.0), with freq of:
                    32.0 = termFreq=32.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2035)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This article provides the first historical analysis of the relationship between collaboration and scientific impact using three indicators of collaboration (number of authors, number of addresses, and number of countries) derived from articles published between 1900 and 2011. The results demonstrate that an increase in the number of authors leads to an increase in impact, from the beginning of the last century onward, and that this is not due simply to self-citations. A similar trend is also observed for the number of addresses and number of countries represented in the byline of an article. However, the constant inflation of collaboration since 1900 has resulted in diminishing citation returns: Larger and more diverse (in terms of institutional and country affiliation) teams are necessary to realize higher impact. The article concludes with a discussion of the potential causes of the impact gain in citations of collaborative papers.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1323-1332
  4. Sugimoto, C.R.; Work, S.; Larivière, V.; Haustein, S.: Scholarly use of social media and altmetrics : A review of the literature (2017) 0.00
    0.0047346456 = product of:
      0.014203937 = sum of:
        0.014203937 = product of:
          0.028407874 = sum of:
            0.028407874 = weight(_text_:of in 3781) [ClassicSimilarity], result of:
              0.028407874 = score(doc=3781,freq=32.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.41465378 = fieldWeight in 3781, product of:
                  5.656854 = tf(freq=32.0), with freq of:
                    32.0 = termFreq=32.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3781)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Social media has become integrated into the fabric of the scholarly communication system in fundamental ways, principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics-that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of 2 main parts: the first examines the use of social media in academia, reviewing the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2037-2062
  5. Kirchik, O.; Gingras, Y.; Larivière, V.: Changes in publication languages and citation practices and their effect on the scientific impact of Russian science (1993-2010) (2012) 0.00
    0.004730534 = product of:
      0.014191601 = sum of:
        0.014191601 = product of:
          0.028383203 = sum of:
            0.028383203 = weight(_text_:of in 284) [ClassicSimilarity], result of:
              0.028383203 = score(doc=284,freq=46.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.41429368 = fieldWeight in 284, product of:
                  6.78233 = tf(freq=46.0), with freq of:
                    46.0 = termFreq=46.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=284)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This article analyzes the effects of publication language on the international scientific visibility of Russia using the Web of Science (WoS). Like other developing and transition countries, it is subject to a growing pressure to "internationalize" its scientific activities, which primarily means a shift to English as a language of scientific communication. But to what extent does the transition to English improve the impact of research? The case of Russia is of interest in this respect as the existence of many combinations of national journals and languages of publications (namely, Russian and English, including translated journals) provide a kind of natural I experiment to test the effects of language and publisher's country on the international visibility of research through citations as well as on the referencing practices of authors. Our analysis points to the conclusion that the production of original English-language papers in foreign journals is a more efficient strategy of internationalization than the mere translation of domestic journals. If the objective of a country is to maximize the international visibility of its scientific work, then the efforts should go into the promotion of publication in reputed English-language journals to profit from the added effect provided by the Matthew effect of these venues.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1411-1419
  6. Atanassova, I.; Bertin, M.; Larivière, V.: On the composition of scientific abstracts (2016) 0.00
    0.004730534 = product of:
      0.014191601 = sum of:
        0.014191601 = product of:
          0.028383203 = sum of:
            0.028383203 = weight(_text_:of in 3028) [ClassicSimilarity], result of:
              0.028383203 = score(doc=3028,freq=46.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.41429368 = fieldWeight in 3028, product of:
                  6.78233 = tf(freq=46.0), with freq of:
                    46.0 = termFreq=46.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3028)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Purpose - Scientific abstracts reproduce only part of the information and the complexity of argumentation in a scientific article. The purpose of this paper provides a first analysis of the similarity between the text of scientific abstracts and the body of articles, using sentences as the basic textual unit. It contributes to the understanding of the structure of abstracts. Design/methodology/approach - Using sentence-based similarity metrics, the authors quantify the phenomenon of text re-use in abstracts and examine the positions of the sentences that are similar to sentences in abstracts in the introduction, methods, results and discussion structure, using a corpus of over 85,000 research articles published in the seven Public Library of Science journals. Findings - The authors provide evidence that 84 percent of abstract have at least one sentence in common with the body of the paper. Studying the distributions of sentences in the body of the articles that are re-used in abstracts, the authors show that there exists a strong relation between the rhetorical structure of articles and the zones that authors re-use when writing abstracts, with sentences mainly coming from the beginning of the introduction and the end of the conclusion. Originality/value - Scientific abstracts contain what is considered by the author(s) as information that best describe documents' content. This is a first study that examines the relation between the contents of abstracts and the rhetorical structure of scientific articles. The work might provide new insight for improving automatic abstracting tools as well as information retrieval approaches, in which text organization and structure are important features.
    Source
    Journal of documentation. 72(2016) no.4, S.636-647
  7. Bertin, M.; Atanassova, I.; Gingras, Y.; Larivière, V.: ¬The invariant distribution of references in scientific articles (2016) 0.00
    0.004267752 = product of:
      0.012803256 = sum of:
        0.012803256 = product of:
          0.025606511 = sum of:
            0.025606511 = weight(_text_:of in 2497) [ClassicSimilarity], result of:
              0.025606511 = score(doc=2497,freq=26.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.37376386 = fieldWeight in 2497, product of:
                  5.0990195 = tf(freq=26.0), with freq of:
                    26.0 = termFreq=26.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2497)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The organization of scientific papers typically follows a standardized pattern, the well-known IMRaD structure (introduction, methods, results, and discussion). Using the full text of 45,000 papers published in the PLoS series of journals as a case study, this paper investigates, from the viewpoint of bibliometrics, how references are distributed along the structure of scientific papers as well as the age of these cited references. Once the sections of articles are realigned to follow the IMRaD sequence, the position of cited references along the text of articles is invariant across all PLoS journals, with the introduction and discussion accounting for most of the references. It also provides evidence that the age of cited references varies by section, with older references being found in the methods and more recent references in the discussion. These results provide insight into the different roles citations have in the scholarly communication process.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.1, S.164-177
  8. Larivière, V.; Macaluso, B.: Improving the coverage of social science and humanities researchers' output : the case of the Érudit journal platform (2011) 0.00
    0.004184875 = product of:
      0.012554625 = sum of:
        0.012554625 = product of:
          0.02510925 = sum of:
            0.02510925 = weight(_text_:of in 4943) [ClassicSimilarity], result of:
              0.02510925 = score(doc=4943,freq=36.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.36650562 = fieldWeight in 4943, product of:
                  6.0 = tf(freq=36.0), with freq of:
                    36.0 = termFreq=36.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4943)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    In non-English-speaking countries the measurement of research output in the social sciences and humanities (SSH) using standard bibliographic databases suffers from a major drawback: the underrepresentation of articles published in local, non-English, journals. Using papers indexed (1) in a local database of periodicals (Érudit) and (2) in the Web of Science, assigned to the population of university professors in the province of Québec, this paper quantifies, for individual researchers and departments, the importance of papers published in local journals. It also analyzes differences across disciplines and between French-speaking and English-speaking universities. The results show that, while the addition of papers published in local journals to bibliometric measures has little effect when all disciplines are considered and for anglophone universities, it increases the output of researchers from francophone universities in the social sciences and humanities by almost a third. It also shows that there is very little relation, at the level of individual researchers or departments, between the output indexed in the Web of Science and the output retrieved from the Érudit database; a clear demonstration that the Web of Science cannot be used as a proxy for the "overall" production of SSH researchers in Québec. The paper concludes with a discussion on these disciplinary and language differences, as well as on their implications for rankings of universities.
    Object
    Web of Science
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.12, S.2437-2442
  9. Haustein, S.; Bowman, T.D.; Holmberg, K.; Tsou, A.; Sugimoto, C.R.; Larivière, V.: Tweets as impact indicators : Examining the implications of automated "bot" accounts on Twitter (2016) 0.00
    0.0041003237 = product of:
      0.01230097 = sum of:
        0.01230097 = product of:
          0.02460194 = sum of:
            0.02460194 = weight(_text_:of in 2502) [ClassicSimilarity], result of:
              0.02460194 = score(doc=2502,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.3591007 = fieldWeight in 2502, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2502)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This brief communication presents preliminary findings on automated Twitter accounts distributing links to scientific articles deposited on the preprint repository arXiv. It discusses the implication of the presence of such bots from the perspective of social media metrics (altmetrics), where mentions of scholarly documents on Twitter have been suggested as a means of measuring impact that is both broader and timelier than citations. Our results show that automated Twitter accounts create a considerable amount of tweets to scientific articles and that they behave differently than common social bots, which has critical implications for the use of raw tweet counts in research evaluation and assessment. We discuss some definitions of Twitter cyborgs and bots in scholarly communication and propose distinguishing between different levels of engagement-that is, differentiating between tweeting only bibliographic information to discussing or commenting on the content of a scientific work.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.1, S.232-238
  10. Shu, F.; Julien, C.-A.; Larivière, V.: Does the Web of Science accurately represent chinese scientific performance? (2019) 0.00
    0.0041003237 = product of:
      0.01230097 = sum of:
        0.01230097 = product of:
          0.02460194 = sum of:
            0.02460194 = weight(_text_:of in 5388) [ClassicSimilarity], result of:
              0.02460194 = score(doc=5388,freq=24.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.3591007 = fieldWeight in 5388, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=5388)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    With the significant development of China's economy and scientific activity, its scientific publication activity is experiencing a period of rapid growth. However, measuring China's research output remains a challenge because Chinese scholars may publish their research in either international or national journals, yet no bibliometric database covers both the Chinese and English scientific literature. The purpose of this study is to compare Web of Science (WoS) with a Chinese bibliometric database in terms of authors and their performance, demonstrate the extent of the overlap between the two groups of Chinese most productive authors in both international and Chinese bibliometric databases, and determine how different disciplines may affect this overlap. The results of this study indicate that Chinese bibliometric databases, or a combination of WoS and Chinese bibliometric databases, should be used to evaluate Chinese research performance except in the few disciplines in which Chinese research performance could be assessed using WoS only.
    Object
    Web of Science
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1138-1152
  11. Larivière, V.; Sugimoto, C.R.; Cronin, B.: ¬A bibliometric chronicling of library and information science's first hundred years (2012) 0.00
    0.003945538 = product of:
      0.0118366135 = sum of:
        0.0118366135 = product of:
          0.023673227 = sum of:
            0.023673227 = weight(_text_:of in 244) [ClassicSimilarity], result of:
              0.023673227 = score(doc=244,freq=32.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.34554482 = fieldWeight in 244, product of:
                  5.656854 = tf(freq=32.0), with freq of:
                    32.0 = termFreq=32.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=244)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This paper presents a condensed history of Library and Information Science (LIS) over the course of more than a century using a variety of bibliometric measures. It examines in detail the variable rate of knowledge production in the field, shifts in subject coverage, the dominance of particular publication genres at different times, prevailing modes of production, interactions with other disciplines, and, more generally, observes how the field has evolved. It shows that, despite a striking growth in the number of journals, papers, and contributing authors, a decrease was observed in the field's market-share of all social science and humanities research. Collaborative authorship is now the norm, a pattern seen across the social sciences. The idea of boundary crossing was also examined: in 2010, nearly 60% of authors who published in LIS also published in another discipline. This high degree of permeability in LIS was also demonstrated through reference and citation practices: LIS scholars now cite and receive citations from other fields more than from LIS itself. Two major structural shifts are revealed in the data: in 1960, LIS changed from a professional field focused on librarianship to an academic field focused on information and use; and in 1990, LIS began to receive a growing number of citations from outside the field, notably from Computer Science and Management, and saw a dramatic increase in the number of authors contributing to the literature of the field.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.997-1016
  12. Larivière, V.; Sugimoto, C.R.; Macaluso, B.; Milojevi´c, S.; Cronin, B.; Thelwall, M.: arXiv E-prints and the journal of record : an analysis of roles and relationships (2014) 0.00
    0.003945538 = product of:
      0.0118366135 = sum of:
        0.0118366135 = product of:
          0.023673227 = sum of:
            0.023673227 = weight(_text_:of in 1285) [ClassicSimilarity], result of:
              0.023673227 = score(doc=1285,freq=32.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.34554482 = fieldWeight in 1285, product of:
                  5.656854 = tf(freq=32.0), with freq of:
                    32.0 = termFreq=32.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1285)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Since its creation in 1991, arXiv has become central to the diffusion of research in a number of fields. Combining data from the entirety of arXiv and the Web of Science (WoS), this article investigates (a) the proportion of papers across all disciplines that are on arXiv and the proportion of arXiv papers that are in the WoS, (b) the elapsed time between arXiv submission and journal publication, and (c) the aging characteristics and scientific impact of arXiv e-prints and their published version. It shows that the proportion of WoS papers found on arXiv varies across the specialties of physics and mathematics, and that only a few specialties make extensive use of the repository. Elapsed time between arXiv submission and journal publication has shortened but remains longer in mathematics than in physics. In physics, mathematics, as well as in astronomy and astrophysics, arXiv versions are cited more promptly and decay faster than WoS papers. The arXiv versions of papers-both published and unpublished-have lower citation rates than published papers, although there is almost no difference in the impact of the arXiv versions of published and unpublished papers.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1157-1169
  13. Mongeon, P.; Larivière, V.: Costly collaborations : the impact of scientific fraud on co-authors' careers (2016) 0.00
    0.0038202507 = product of:
      0.011460752 = sum of:
        0.011460752 = product of:
          0.022921504 = sum of:
            0.022921504 = weight(_text_:of in 2769) [ClassicSimilarity], result of:
              0.022921504 = score(doc=2769,freq=30.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.33457235 = fieldWeight in 2769, product of:
                  5.477226 = tf(freq=30.0), with freq of:
                    30.0 = termFreq=30.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2769)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Over the past few years, several major scientific fraud cases have shocked the scientific community. The number of retractions each year has also increased tremendously, especially in the biomedical field, and scientific misconduct accounts for more than half of those retractions. It is assumed that co-authors of retracted papers are affected by their colleagues' misconduct, and the aim of this study is to provide empirical evidence of the effect of retractions in biomedical research on co-authors' research careers. Using data from the Web of Science, we measured the productivity, impact, and collaboration of 1,123 co-authors of 293 retracted articles for a period of 5 years before and after the retraction. We found clear evidence that collaborators do suffer consequences of their colleagues' misconduct and that a retraction for fraud has higher consequences than a retraction for error. Our results also suggest that the extent of these consequences is closely linked with the ranking of co-authors on the retracted paper, being felt most strongly by first authors, followed by the last authors, with the impact is less important for middle authors.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.3, S.535-542
  14. Larivière, V.; Sugimoto, C.R.; Bergeron, P.: In their own image? : a comparison of doctoral students' and faculty members' referencing behavior (2013) 0.00
    0.003743066 = product of:
      0.0112291975 = sum of:
        0.0112291975 = product of:
          0.022458395 = sum of:
            0.022458395 = weight(_text_:of in 751) [ClassicSimilarity], result of:
              0.022458395 = score(doc=751,freq=20.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32781258 = fieldWeight in 751, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=751)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This article compares doctoral students' and faculty members' referencing behavior through the analysis of a large corpus of scientific articles. It shows that doctoral students tend to cite more documents per article than faculty members, and that the literature they cite is, on average, more recent. It also demonstrates that doctoral students cite a larger proportion of conference proceedings and journal articles than faculty members and faculty members are more likely to self-cite and cite theses than doctoral students. Analysis of the impact of cited journals indicates that in health research, faculty members tend to cite journals with slightly lower impact factors whereas in social sciences and humanities, faculty members cite journals with higher impact factors. Finally, it provides evidence that, in every discipline, faculty members tend to cite a higher proportion of clinical/applied research journals than doctoral students. This study contributes to the understanding of referencing patterns and age stratification in academia. Implications for understanding the information-seeking behavior of academics are discussed.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1045-1054
  15. Lachance, C.; Poirier, S.; Larivière, V.: ¬The kiss of death? : the effect of being cited in a review on subsequent citations (2014) 0.00
    0.003743066 = product of:
      0.0112291975 = sum of:
        0.0112291975 = product of:
          0.022458395 = sum of:
            0.022458395 = weight(_text_:of in 1310) [ClassicSimilarity], result of:
              0.022458395 = score(doc=1310,freq=20.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32781258 = fieldWeight in 1310, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1310)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    This work investigates recent claims that citation in a review article provokes a decline in a paper's later citation count; citations being given to the review article instead of the original paper. Using the Science Citation Index Expanded, we looked at the yearly percentages of lifetime citations of papers published in 1990 first cited in review articles in 1992 and 1995 in the field of biomedical research, and found that no significant change occurred after citation in a review article, regardless of the papers' citation activity or specialty. Additional comparison was done for papers from the field of clinical research, and this yielded no meaningful results to support the notion that review articles have any substantial effect on the citation count of the papers they review.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1501-1505
  16. Larivière, V.; Archambault, E.; Gingras, Y.: Long-term variations in the aging of scientific literature : from exponential growth to steady-state science (1900-2004) (2008) 0.00
    0.0036907129 = product of:
      0.011072138 = sum of:
        0.011072138 = product of:
          0.022144277 = sum of:
            0.022144277 = weight(_text_:of in 1357) [ClassicSimilarity], result of:
              0.022144277 = score(doc=1357,freq=28.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32322758 = fieldWeight in 1357, product of:
                  5.2915025 = tf(freq=28.0), with freq of:
                    28.0 = termFreq=28.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1357)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Despite a very large number of studies on the aging and obsolescence of scientific literature, no study has yet measured, over a very long time period, the changes in the rates at which scientific literature becomes obsolete. This article studies the evolution of the aging phenomenon and, in particular, how the age of cited literature has changed over more than 100 years of scientific activity. It shows that the average and median ages of cited literature have undergone several changes over the period. Specifically, both World War I and World War II had the effect of significantly increasing the age of the cited literature. The major finding of this article is that contrary to a widely held belief, the age of cited material has risen continuously since the mid-1960s. In other words, during that period, researchers were relying on an increasingly old body of literature. Our data suggest that this phenomenon is a direct response to the steady-state dynamics of modern science that followed its exponential growth; however, we also have observed that online preprint archives such as arXiv have had the opposite effect in some subfields.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.2, S.288-296
  17. Archambault, E.; Campbell, D; Gingras, Y.; Larivière, V.: Comparing bibliometric statistics obtained from the Web of Science and Scopus (2009) 0.00
    0.0036907129 = product of:
      0.011072138 = sum of:
        0.011072138 = product of:
          0.022144277 = sum of:
            0.022144277 = weight(_text_:of in 2933) [ClassicSimilarity], result of:
              0.022144277 = score(doc=2933,freq=28.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32322758 = fieldWeight in 2933, product of:
                  5.2915025 = tf(freq=28.0), with freq of:
                    28.0 = termFreq=28.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2933)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    For more than 40 years, the Institute for Scientific Information (ISI, now part of Thomson Reuters) produced the only available bibliographic databases from which bibliometricians could compile large-scale bibliometric indicators. ISI's citation indexes, now regrouped under the Web of Science (WoS), were the major sources of bibliometric data until 2004, when Scopus was launched by the publisher Reed Elsevier. For those who perform bibliometric analyses and comparisons of countries or institutions, the existence of these two major databases raises the important question of the comparability and stability of statistics obtained from different data sources. This paper uses macrolevel bibliometric indicators to compare results obtained from the WoS and Scopus. It shows that the correlations between the measures obtained with both databases for the number of papers and the number of citations received by countries, as well as for their ranks, are extremely high. There is also a very high correlation when countries' papers are broken down by field. The paper thus provides evidence that indicators of scientific production and citations at the country level are stable and largely independent of the database.
    Object
    Web of Science
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1320-1326
  18. Larivière, V.; Gingras, Y.: On the prevalence and scientific impact of duplicate publications in different scientific fields (1980-2007) (2010) 0.00
    0.0036907129 = product of:
      0.011072138 = sum of:
        0.011072138 = product of:
          0.022144277 = sum of:
            0.022144277 = weight(_text_:of in 3622) [ClassicSimilarity], result of:
              0.022144277 = score(doc=3622,freq=28.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.32322758 = fieldWeight in 3622, product of:
                  5.2915025 = tf(freq=28.0), with freq of:
                    28.0 = termFreq=28.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3622)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Purpose - The issue of duplicate publications has received a lot of attention in the medical literature, but much less in the information science community. This paper aims to analyze the prevalence and scientific impact of duplicate publications across all fields of research between 1980 and 2007. Design/methodology/approach - The approach is a bibliometric analysis of duplicate papers based on their metadata. Duplicate papers are defined as papers published in two different journals having: the exact same title; the same first author; and the same number of cited references. Findings - In all fields combined, the prevalence of duplicates is one out of 2,000 papers, but is higher in the natural and medical sciences than in the social sciences and humanities. A very high proportion (>85 percent) of these papers are published the same year or one year apart, which suggest that most duplicate papers were submitted simultaneously. Furthermore, duplicate papers are generally published in journals with impact factors below the average of their field and obtain lower citations. Originality/value - The paper provides clear evidence that the prevalence of duplicate papers is low and, more importantly, that the scientific impact of such papers is below average.
    Source
    Journal of documentation. 66(2010) no.2, S.179-190
  19. Larivière, V.; Archambault, V.; Gingras, Y.; Vignola-Gagné, E.: ¬The place of serials in referencing practices : comparing natural sciences and engineering with social sciences and humanities (2006) 0.00
    0.00355646 = product of:
      0.0106693795 = sum of:
        0.0106693795 = product of:
          0.021338759 = sum of:
            0.021338759 = weight(_text_:of in 5107) [ClassicSimilarity], result of:
              0.021338759 = score(doc=5107,freq=26.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.31146988 = fieldWeight in 5107, product of:
                  5.0990195 = tf(freq=26.0), with freq of:
                    26.0 = termFreq=26.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5107)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Journal articles constitute the core documents for the diffusion of knowledge in the natural sciences. It has been argued that the same is not true for the social sciences and humanities where knowledge is more often disseminated in monographs that are not indexed in the journal-based databases used for bibliometric analysis. Previous studies have made only partial assessments of the role played by both serials and other types of literature. The importance of journal literature in the various scientific fields has therefore not been systematically characterized. The authors address this issue by providing a systematic measurement of the role played by journal literature in the building of knowledge in both the natural sciences and engineering and the social sciences and humanities. Using citation data from the CD-ROM versions of the Science Citation Index (SCI), Social Science Citation Index (SSCI), and Arts and Humanities Citation Index (AHCI) databases from 1981 to 2000 (Thomson ISI, Philadelphia, PA), the authors quantify the share of citations to both serials and other types of literature. Variations in time and between fields are also analyzed. The results show that journal literature is increasingly important in the natural and social sciences, but that its role in the humanities is stagnant and has even tended to diminish slightly in the 1990s. Journal literature accounts for less than 50% of the citations in several disciplines of the social sciences and humanities; hence, special care should be used when using bibliometric indicators that rely only on journal literature.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.997-1004
  20. Lisée, C.; Larivière, V.; Archambault, E.: Conference proceedings as a source of scientific information : a bibliometric analysis (2008) 0.00
    0.00355646 = product of:
      0.0106693795 = sum of:
        0.0106693795 = product of:
          0.021338759 = sum of:
            0.021338759 = weight(_text_:of in 2356) [ClassicSimilarity], result of:
              0.021338759 = score(doc=2356,freq=26.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.31146988 = fieldWeight in 2356, product of:
                  5.0990195 = tf(freq=26.0), with freq of:
                    26.0 = termFreq=26.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2356)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    While several authors have argued that conference proceedings are an important source of scientific knowledge, the extent of their importance has not been measured in a systematic manner. This article examines the scientific impact and aging of conference proceedings compared to those of scientific literature in general. It shows that the relative importance of proceedings is diminishing over time and currently represents only 1.7% of references made in the natural sciences and engineering, and 2.5% in the social sciences and humanities. Although the scientific impact of proceedings is losing ground to other types of scientific literature in nearly all fields, it has grown from 8% of the references in engineering papers in the early 1980s to its current 10%. Proceedings play a particularly important role in computer sciences, where they account for close to 20% of the references. This article also shows that not unexpectedly, proceedings age faster than cited scientific literature in general. The evidence thus shows that proceedings have a relatively limited scientific impact, on average representing only about 2% of total citations, that their relative importance is shrinking, and that they become obsolete faster than the scientific literature in general.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1776-1784