-
Haustein, S.; Sugimoto, C.; Larivière, V.: Social media in scholarly communication : Guest editorial (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.3, S.260-288
-
Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009)
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- 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
-
Hu, B.; Dong, X.; Zhang, C.; Bowman, T.D.; Ding, Y.; Milojevic, S.; Ni, C.; Yan, E.; Larivière, V.: ¬A lead-lag analysis of the topic evolution patterns for preprints and publications (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2643-2656
-
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)
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- 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 The arXiv versions of papers-both published and unpublished-have lower citation rates than published papers, although there is almost no difference in the impact of the arXiv versions of published and unpublished papers.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
-
Lachance, C.; Poirier, S.; Larivière, V.: ¬The kiss of death? : the effect of being cited in a review on subsequent citations (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1501-1505
-
Shu, F.; Julien, C.-A.; Larivière, V.: Does the Web of Science accurately represent chinese scientific performance? (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1138-1152
-
Vincent-Lamarre, P.; Boivin, J.; Gargouri, Y.; Larivière, V.; Harnad, S.: Estimating open access mandate effectiveness : the MELIBEA score (2016)
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- Abstract
- MELIBEA is a directory of institutional open-access policies for research output that uses a composite formula with eight weighted conditions to estimate the "strength" of open access (OA) mandates (registered in ROARMAP). We analyzed total Web of Science-(WoS)-indexed publication output in years 2011-2013 for 67 institutions in which OA was mandated to estimate the mandates' effectiveness: How well did the MELIBEA score and its individual conditions predict what percentage of the WoS-indexed articles is actually deposited in each institution's OA repository, and when? We found a small but significant positive correlation (0.18) between the MELIBEA "strength" score and deposit percentage. For three of the eight MELIBEA conditions (deposit timing, internal use, and opt-outs), one value of each was strongly associated with deposit percentage or latency ([a] immediate deposit required; [b] deposit required for performance evaluation; [c] unconditional opt-out allowed for the OA requirement but no opt-out for deposit requirement). When we updated the initial values and weights of the MELIBEA formula to reflect the empirical association we had found, the score's predictive power for mandate effectiveness doubled (0.36). There are not yet enough OA mandates to test further mandate conditions that might contribute to mandate effectiveness, but the present findings already suggest that it would be productive for existing and future mandates to adopt the three identified conditions so as to maximize their effectiveness, and thereby the growth of OA.
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2815-2828
-
Lisée, C.; Larivière, V.; Archambault, E.: Conference proceedings as a source of scientific information : a bibliometric analysis (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.11, S.1776-1784
-
Sugimoto, C.R.; Work, S.; Larivière, V.; Haustein, S.: Scholarly use of social media and altmetrics : A review of the literature (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2037-2062
-
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)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.1, S.232-238
-
Haustein, S.; Peters, I.; Sugimoto, C.R.; Thelwall, M.; Larivière, V.: Tweeting biomedicine : an analysis of tweets and citations in the biomedical literature (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.656-669
-
Mohammadi, E.; Thelwall, M.; Haustein, S.; Larivière, V.: Who reads research articles? : an altmetrics analysis of Mendeley user categories (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1832-1846
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Atanassova, I.; Bertin, M.; Larivière, V.: On the composition of scientific abstracts (2016)
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- 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
-
Larivière, V.; Gingras, Y.: ¬The impact factor's Matthew Effect : a natural experiment in bibliometrics (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.424-427
-
Larivière, V.; Sugimoto, C.R.; Bergeron, P.: In their own image? : a comparison of doctoral students' and faculty members' referencing behavior (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1045-1054
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Larivière, V.; Gingras, Y.; Sugimoto, C.R.; Tsou, A.: Team size matters : collaboration and scientific impact since 1900 (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1323-1332
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Bertin, M.; Atanassova, I.; Gingras, Y.; Larivière, V.: ¬The invariant distribution of references in scientific articles (2016)
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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)
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- Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.997-1004
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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)
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Archambault, E.; Campbell, D; Gingras, Y.; Larivière, V.: Comparing bibliometric statistics obtained from the Web of Science and Scopus (2009)
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