Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 03. März 2020)
1Hellsten, I. ; Leydesdorff, L.: Automated analysis of actor-topic networks on twitter : new approaches to the analysis of socio-semantic networks.
In: Journal of the Association for Information Science and Technology. 71(2020) no.1, S.3-15.
Abstract: Social media data provide increasing opportunities for the automated analysis of large sets of textual documents. So far, automated tools have been developed either to account for the social networks among participants in the debates, or to analyze the content of these debates. Less attention has been paid to mapping co-occurrences of actors (participants) and topics (content) in online debates that can be considered as socio-semantic networks. We propose a new, automated approach that uses the whole matrix of co-addressed topics and actors for understanding and visualizing online debates. We show the advantages of the new approach with the analysis of two data sets: first, a large set of English-language Twitter messages at the Rio?+?20 meeting, in June 2012 (72,077 tweets), and second, a smaller data set of Dutch-language Twitter messages on bird flu related to poultry farming in 2015-2017 (2,139 tweets). We discuss the theoretical, methodological, and substantive implications of our approach, also for the analysis of other social media data.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24207.
2Yan, E. ; Chen, Z. ; Li, K.: Authors' status and the perceived quality of their work : measuring citation sentiment change in nobel articles.
In: Journal of the Association for Information Science and Technology. 71(2020) no.3, S.314-324.
Abstract: Prior research in status ordering has used numeric indicators to examine the impact of a status change on the perception of a scientist's work. This study measures the perception change directly as reflected in citation sentiment, with the attainment of a Nobel Prize in Chemistry or a Nobel Prize in Physiology or Medicine considered the status change. The article identifies 12,393 citances to 25 Nobel articles in PubMed Central and includes a control article set of 75 articles with 30,851 citances. The results show a moderate increase in citation sentiment toward Nobel articles postaward. Dynamically, for Nobel articles there is a steady sentiment increase, and a Nobel Prize seems to co-occur with this trend. This trend, however, is not evident in the control article set.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24237.
3Haley, M.R.: ¬A simple paradigm for augmenting the Euclidean index to reflect journal impact and visibility.
In: Journal of the Association for Information Science and Technology. 71(2020) no.3, S.370-373.
Abstract: This article offers an adjustment to the recently developed Euclidean Index (Perry and Reny, 2016). The proposed companion metric reflects the impact of the journal in which an article appears; the rationale for incorporating this information is to reflect higher costs of production and higher review standards, and to mitigate the heavily truncated citation counts that often arise in promotion, renewal, and tenure deliberations. Additionally, focusing jointly on citations and journal impact diversifies the assessment process, and can thereby help avoid misjudging scholars with modest citation counts in high-level journals. A combination of both metrics is also proposed, which nests each as a special case. The approach is demonstrated using a generic journal ranking metric, but can be adapted to most any stated or revealed preference measure of journal impact.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24224.
4Williams, B.: Dimensions & VOSViewer bibliometrics in the reference interview.
In: Code4Lib journal. Issue 47(2020), [http://journal.code4lib.org].
Abstract: The VOSviewer software provides easy access to bibliometric mapping using data from Dimensions, Scopus and Web of Science. The properly formatted and structured citation data, and the ease in which it can be exported open up new avenues for use during citation searches and eference interviews. This paper details specific techniques for using advanced searches in Dimensions, exporting the citation data, and drawing insights from the maps produced in VOS Viewer. These search techniques and data export practices are fast and accurate enough to build into reference interviews for graduate students, faculty, and post-PhD researchers. The search results derived from them are accurate and allow a more comprehensive view of citation networks embedded in ordinary complex boolean searches.
Inhalt: Vgl.: https://journal.code4lib.org/articles/14964.
5Positionspapier der DMV zur Verwendung bibliometrischer Daten.Online: 21.02.2020.
In: Mitteilungen der Deutschen Mathematiker-Vereinigung. 2019, H.3-4, S.112-117.
Abstract: Bibliometrische Daten werden heute zunehmend in der Evaluation von Forschungsergebnissen benutzt. Diese Anwendungen reichen von der (indirekten) Verwendung bei der Peer-Evaluation von Drittmittelanträgen über die Beurteilung von Bewerbungen in Berufungskommissionen oder Anträgen für Forschungszulagen bis hin zur systematischen Erhebung von forschungsorientierten Kennzahlen von Institutionen. Mit diesem Dokument will die DMV ihren Mitgliedern eine Diskussionsgrundlage zur Verwendung bibliometrischer Daten im Zusammenhang mit der Evaluation von Personen und Institutionen im Fachgebiet Mathematik zur Verfügung stellen, insbesondere auch im Vergleich zu anderen Fächern. Am Ende des Texts befindet sich ein Glossar, in dem die wichtigsten Begriffe kurz erläutert werden.
Inhalt: Vgl.: https://doi.org/10.1515/dmvm-2019-0040.
Objekt: h-index ; Altmetrics
6Haddow, G. ; Hammarfelt, B.: Quality, impact, and quantification : indicators and metrics use by social scientists.
In: Journal of the Association for Information Science and Technology. 70(2019) no.1, S.16-26.
Abstract: The use of indicators and metrics for research evaluation purposes is well-documented; however, less is known about their use by individual scholars. With a focus on the social sciences, this article contributes to the existing literature on indicators and metrics use in fields with diverse publication practices. Scholars in Australia and Sweden were asked about their use and reasons for using metrics. A total of 581 completed surveys were analyzed to generate descriptive statistics, with textual analysis performed on comments provided to open questions. While just under half of the participant group had used metrics, the Australians reported use in twice the proportion of their Swedish peers. Institutional policies and processes were frequently associated with use, and the scholars' comments suggest a high level of awareness of some metrics as well as strategic behavior in demonstrating research performance. There is also evidence of tensions between scholars' research evaluation environment and their disciplinary values and publication practices.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24097.
7Zheng, X. ; Sun, A.: Collecting event-related tweets from twitter stream.
In: Journal of the Association for Information Science and Technology. 70(2019) no.2, S.176-186.
Abstract: Twitter provides a channel of collecting and publishing instant information on major events like natural disasters. However, information flow on Twitter is of great volume. For a specific event, messages collected from the Twitter Stream based on either location constraint or predefined keywords would contain a lot of noise. In this article, we propose a method to achieve both high-precision and high-recall in collecting event-related tweets. Our method involves an automatic keyword generation component, and an event-related tweet identification component. For keyword generation, we consider three properties of candidate keywords, namely relevance, coverage, and evolvement. The keyword updating mechanism enables our method to track the main topics of tweets along event development. To minimize annotation effort in identifying event-related tweets, we adopt active learning and incorporate multiple-instance learning which assigns labels to bags instead of instances (that is, individual tweets). Through experiments on two real-world events, we demonstrate the superiority of our method against state-of-the-art alternatives.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24096.
8Lee, D.H. ; Brusilovsky, P.: ¬The first impression of conference papers : does it matter in predicting future citations?.
In: Journal of the Association for Information Science and Technology. 70(2019) no.1, S.83-95.
Abstract: This article explores the factors influencing the future citations of conference papers. We concentrated on the explanatory power of early attention on conference papers for citations collected from Google Scholar and Scopus. The early attention data includes users' online activities in a conference support system: CN3. Bookmarks from the bibliographic management system, Citeulike, were used as a collateral source of early attention. To examine the chronological contributions of 13 factors on citations, a multiple sequential regression analysis was conducted for three timepoints of the publication cycle-paper submission, time of conferences, and months after conferences. Our results illustrate that online readers' early attention of Citeulike bookmarks were found to have the most influence on the future impact of the conference papers. The early attention records from CN3 made noteworthy improvements to explaining both the Google and Scopus citations as well. We also found that the type of papers the number of papers presented at a conference, and the best article award records were significant factors influencing future citations. However, the magnitude of the effects made by online readers' early attention from both sources appears to be larger than these three traditional factors.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24100.
9Kim, J.: Author-based analysis of conference versus journal publication in computer science.
In: Journal of the Association for Information Science and Technology. 70(2019) no.1, S.71-82.
Abstract: Conference publications in computer science (CS) have attracted scholarly attention due to their unique status as a main research outlet, unlike other science fields where journals are dominantly used for communicating research findings. One frequent research question has been how different conference and journal publications are, considering an article as a unit of analysis. This study takes an author-based approach to analyze the publishing patterns of 517,763 scholars who have ever published both in CS conferences and journals for the last 57 years, as recorded in DBLP. The analysis shows that the majority of CS scholars tend to make their scholarly debut, publish more articles, and collaborate with more coauthors in conferences than in journals. Importantly, conference articles seem to serve as a distinct channel of scholarly communication, not a mere preceding step to journal publications: coauthors and title words of authors across conferences and journals tend not to overlap much. This study corroborates findings of previous studies on this topic from a distinctive perspective and suggests that conference authorship in CS calls for more special attention from scholars and administrators outside CS who have focused on journal publications to mine authorship data and evaluate scholarly performance.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24079.
10Leydesdorff, L. ; Bornmann, L. ; Wagner, C.S.: ¬The relative influences of government funding and international collaboration on citation impact.
In: Journal of the Association for Information Science and Technology. 70(2019) no.2, S.198-201.
Abstract: A recent publication in Nature reports that public R&D funding is only weakly correlated with the citation impact of a nation's articles as measured by the field-weighted citation index (FWCI; defined by Scopus). On the basis of the supplementary data, we up-scaled the design using Web of Science data for the decade 2003-2013 and OECD funding data for the corresponding decade assuming a 2-year delay (2001-2011). Using negative binomial regression analysis, we found very small coefficients, but the effects of international collaboration are positive and statistically significant, whereas the effects of government funding are negative, an order of magnitude smaller, and statistically nonsignificant (in two of three analyses). In other words, international collaboration improves the impact of research articles, whereas more government funding tends to have a small adverse effect when comparing OECD countries.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24109.
11Chi, P.-S.: ¬The field-specific reference patterns of periodical and nonserial publications.
In: Journal of the Association for Information Science and Technology. 70(2019) no.3, S.283-292.
Abstract: This study is concerned with differences in referencing patterns between book literature and periodical publications. Four indicators, the mean reference rate per page, the percentage of references to Web of Science journal literature, the mean reference age, and Price Index, were applied to analyze the reference patterns of three publication types: books, book chapter articles and journal articles. References of publications indexed in Web of Science Core Collection were analyzed for two periods (2005-2009, 2010-2013) and across 15 disciplines. Journal article authors cite more recent references and more references from serial publications than monograph authors. The difference between the sciences and the SSH is as obvious as the difference between periodical and non-serial publications. However, the reference patterns of social sciences are much more similar to science fields than humanities, especially for monographs. The subject characteristics of reference pattern are strongly affected by publication types. Furthermore, journal publications have stronger associations between ageing indicators and the share of WoS journal references than monographs.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24112.
12Peterson, G.M.: ¬The effectiveness of correction & republication as quality control in scholarly communication : a bibliometric analysis.
In: Journal of the Association for Information Science and Technology. 70(2019) no.3, S.293-295.
Abstract: The practice of correction and republication is a mechanism for identifying and updating non-maleficent yet message-distorting errors in the biomedical literature. Inappropriate use of anomalous literature is evinced by citation of invalidated scholarly works, and though it is known that republished versions of articles are cited more often than corrected versions, the strength of the effect of invalidation, correction, and republication has not been previously quantified. Robust analysis of 15,000+ citations to 548 articles indexed in PubMed indicates that the practice of correction and republication is a strong predictor of reduced post-republication citation relative to controls. This bibliometric analysis shows that corrected articles are cited on average 51% less than controls overall and that the practice of correction and republication results in a fast-acting and long-lasting reduction in citation of flawed works by downstream researchers.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24119.
13Wooldridge, J. ; King, M.B.: Altmetric scores : an early indicator of research impact.
In: Journal of the Association for Information Science and Technology. 70(2019) no.3, S.271-282.
Abstract: In this article we test whether metrics of online attention describing research can provide information on research quality and societal impact that is not found in citation data alone. Our approach is to set up a traditional model in which the true quality or impact of a university department is determined by a panel of experts, but a citation metric is regarded as a reasonable proxy. However, the model assumes that the information contained in the scores provided by an expert panel exceeds that contained in a citation metric (HEFCE, 2015). Finally, we extend this model by including altmetric data to see if it adds information about a department's performance that cannot be gleaned from citations alone. We find the presence of altmetric data for the cited underpinning research to be highly correlated with peer review scores for societal impact. Conversely, no such connection was seen with the assessment of research quality. Our findings therefore suggest altmetric data could be useful as an aid to assessing impact.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24122.
14Hu, X. ; Rousseau, R.: Do citation chimeras exist? : The case of under-cited influential articles suffering delayed recognition.
In: Journal of the Association for Information Science and Technology. 70(2019) no.5, S.499-508.
Abstract: In this study we investigate if articles suffering delayed recognition can at the same time be under-cited influential articles. Theoretically these two types of articles are independent, in the sense that suffering delayed recognition depends on the number and time distribution of received citations, while being an under-cited influential article depends only partially on the number of received (first generation) citations, and much more on second and third citation generations. Among 49 articles suffering delayed recognition we found 13 that are also under-cited influential. Based on a thorough investigation of these special cases we found that so-called authoritative citers play an important role in uniting the two different document types into a special citation chimera. Our investigation contributes to the classification of publications.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24115.
Themenfeld: Informetrie ; Citation indexing
15Leydesdorff, L. ; Bornmann, L. ; Mingers, J.: Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the Leiden rankings.
In: Journal of the Association for Information Science and Technology. 70(2019) no.5, S.509-525.
Abstract: The Leiden Rankings can be used for grouping research universities by considering universities which are not statistically significantly different as homogeneous sets. The groups and intergroup relations can be analyzed and visualized using tools from network analysis. Using the so-called "excellence indicator" PPtop-10%-the proportion of the top-10% most-highly-cited papers assigned to a university-we pursue a classification using (a) overlapping stability intervals, (b) statistical-significance tests, and (c) effect sizes of differences among 902 universities in 54 countries; we focus on the UK, Germany, Brazil, and the USA as national examples. Although the groupings remain largely the same using different statistical significance levels or overlapping stability intervals, these classifications are uncorrelated with those based on effect sizes. Effect sizes for the differences between universities are small (w < .2). The more detailed analysis of universities at the country level suggests that distinctions beyond three or perhaps four groups of universities (high, middle, low) may not be meaningful. Given similar institutional incentives, isomorphism within each eco-system of universities should not be underestimated. Our results suggest that networks based on overlapping stability intervals can provide a first impression of the relevant groupings among universities. However, the clusters are not well-defined divisions between groups of universities.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24130.
16Chen, L. ; Fang, H.: ¬An automatic method for ex-tracting innovative ideas based on the Scopus® database.
In: Knowledge organization. 46(2019) no.3, S.171-186.
Abstract: The novelty of knowledge claims in a research paper can be considered an evaluation criterion for papers to supplement citations. To provide a foundation for research evaluation from the perspective of innovativeness, we propose an automatic approach for extracting innovative ideas from the abstracts of technology and engineering papers. The approach extracts N-grams as candidates based on part-of-speech tagging and determines whether they are novel by checking the Scopus® database to determine whether they had ever been presented previously. Moreover, we discussed the distributions of innovative ideas in different abstract structures. To improve the performance by excluding noisy N-grams, a list of stopwords and a list of research description characteristics were developed. We selected abstracts of articles published from 2011 to 2017 with the topic of semantic analysis as the experimental texts. Excluding noisy N-grams, considering the distribution of innovative ideas in abstracts, and suitably combining N-grams can effectively improve the performance of automatic innovative idea extraction. Unlike co-word and co-citation analysis, innovative-idea extraction aims to identify the differences in a paper from all previously published papers.
Inhalt: DOI:10.57 71/0943-7444-2019-3-171.
Themenfeld: Informetrie ; Computerlinguistik
17He, J. ; Ping, Q. ; Lou, W. ; Chen, C.: PaperPoles : facilitating adaptive visual exploration of scientific publications by citation links.
In: Journal of the Association for Information Science and Technology. 70(2019) no.8, S.843-857.
Abstract: Finding relevant publications is a common task. Typically, a researcher browses through a list of publications and traces additional relevant publications. When relevant publications are identified, the list may be expanded by the citation links of the relevant publications. The information needs of researchers may change as they go through such iterative processes. The exploration process quickly becomes cumbersome as the list expands. Most existing academic search systems tend to be limited in terms of the extent to which searchers can adapt their search as they proceed. In this article, we introduce an adaptive visual exploration system named PaperPoles to support exploration of scientific publications in a context-aware environment. Searchers can express their information needs by intuitively formulating positive and negative queries. The search results are grouped and displayed in a cluster view, which shows aspects and relevance patterns of the results to support navigation and exploration. We conducted an experiment to compare PaperPoles with a list-based interface in performing two academic search tasks with different complexity. The results show that PaperPoles can improve the accuracy of searching for the simple and complex tasks. It can also reduce the completion time of searching and improve exploration effectiveness in the complex task. PaperPoles demonstrates a potentially effective workflow for adaptive visual search of complex information.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24171.
18Aung, H.H. ; Zheng, H. ; Erdt, M. ; Aw, A.S. ; Sin, S.-C.J. ; Theng, Y.-L.: Investigating familiarity and usage of traditional metrics and altmetrics.
In: Journal of the Association for Information Science and Technology. 70(2019) no.8, S.872-887.
Abstract: As the online dissemination of scholarly outputs gets faster and easier, altmetrics, social media based indices, have emerged alongside traditional metrics for research evaluation. In a two-phase survey, we investigate scholars' familiarity and usage of traditional metrics and altmetrics. In this paper, we present the second phase with 448 participants. We found few traditional metrics, like the Journal Impact Factor and number of citations, are familiar to and often used by scholars for research evaluation. Among altmetrics, only views/downloads, readers, and followers are known to more than half the respondents. Unseen benefits and lack of time are hindrances to using metrics for the evaluation of research outputs. Although social media are well-known, scholars prefer promoting their research by publishing in journals and attending conferences. We found social media usage, perceived ease of use and usefulness of altmetrics affect the usage of altmetrics. Findings suggest altmetrics have attracted attention in academia and could be considered complementary to traditional metrics. We acknowledge that due to the limited sample size, statistics and demographics in this study, findings cannot be said to be representative of the entire academic population worldwide. Future studies are needed that cover a wider range of academic disciplines around the world.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24162.
19Shu, F. ; Julien, C.-A. ; Larivière, V.: Does the Web of Science accurately represent chinese scientific performance?.
In: Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1138-1152.
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.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24182.
Objekt: Web of Science
20Leydesdorff, L. ; Wagner, C.S. ; Porto-Gomez, I. ; Comins, J.A. ; Phillips, F.: Synergy in the knowledge base of U.S. innovation systems at national, state, and regional levels : the contributions of high-tech manufacturing and knowledge-intensive services.
In: Journal of the Association for Information Science and Technology. 70(2019) no.10, S.1108-1123.
Abstract: Using information theory, we measure innovation systemness as synergy among size-classes, ZIP Codes, and technological classes (NACE-codes) for 8.5 million American companies. The synergy at the national level is decomposed at the level of states, Core-Based Statistical Areas (CBSA), and Combined Statistical Areas (CSA). We zoom in to the state of California and in more detail to Silicon Valley. Our results do not support the assumption of a national system of innovations in the U.S.A. Innovation systems appear to operate at the level of the states; the CBSA are too small, so that systemness spills across their borders. Decomposition of the sample in terms of high-tech manufacturing (HTM), medium-high-tech manufacturing (MHTM), knowledge-intensive services (KIS), and high-tech services (HTKIS) does not change this pattern, but refines it. The East Coast-New Jersey, Boston, and New York-and California are the major players, with Texas a third one in the case of HTKIS. Chicago and industrial centers in the Midwest also contribute synergy. Within California, Los Angeles contributes synergy in the sectors of manufacturing, the San Francisco area in KIS. KIS in Silicon Valley and the Bay Area-a CSA composed of seven CBSA-spill over to other regions and even globally.
Inhalt: Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24182.