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: 21. Januar 2019)
1Haddow, 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.
2Zheng, 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.
3Lee, 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.
4Kim, 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.
5Leydesdorff, 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.
6Ye, F.Y. ; Bornmann, L.: "Smart girls" versus "sleeping beauties" in the sciences : the identification of instant and delayed recognition by using the citation angle.
In: Journal of the Association for Information Science and Technology. 69(2018) no.3, S.359-367.
Abstract: In recent years, a number of studies have introduced methods for identifying papers with delayed recognition (so called "sleeping beauties," SBs) or have presented single publications as cases of SBs. Most recently, Ke, Ferrara, Radicchi, and Flammini (2015, Proceedings of the National Academy of Sciences of the USA, 112(24), 7426-7431) proposed the so called "beauty coefficient" (denoted as B) to quantify how much a given paper can be considered as a paper with delayed recognition. In this study, the new term smart girl (SG) is suggested to differentiate instant credit or "flashes in the pan" from SBs. Although SG and SB are qualitatively defined, the dynamic citation angle ß is introduced in this study as a simple way for identifying SGs and SBs quantitatively - complementing the beauty coefficient B. The citation angles for all articles from 1980 (n?=?166,870) in natural sciences are calculated for identifying SGs and SBs and their extent. We reveal that about 3% of the articles are typical SGs and about 0.1% typical SBs. The potential advantages of the citation angle approach are explained.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23846/full.
7Haley, M.R. ; McGee, M.K.: ¬A parametric "parent metric" approach for comparing maximum-normalized journal ranking metrics.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.172-176.
Abstract: This article proposes a parametric approach for facilitating inter-metric and inter-field comparisons of citation-based journal ranking metrics. The mechanism is simple to apply and adjusts for metric magnitude differentials and distributional asymmetries in the rank-score curves. The method is demonstrated using h-index, AWCR-index, g-index, and e-index data from journals in Accounting, Economics, and Finance.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23908/full.
8Zhao, M. ; Yan, E. ; Li, K.: Data set mentions and citations : a content analysis of full-text publications.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.32-46.
Abstract: This study provides evidence of data set mentions and citations in multiple disciplines based on a content analysis of 600 publications in PLoS One. We find that data set mentions and citations varied greatly among disciplines in terms of how data sets were collected, referenced, and curated. While a majority of articles provided free access to data, formal ways of data attribution such as DOIs and data citations were used in a limited number of articles. In addition, data reuse took place in less than 30% of the publications that used data, suggesting that researchers are still inclined to create and use their own data sets, rather than reusing previously curated data. This paper provides a comprehensive understanding of how data sets are used in science and helps institutions and publishers make useful data policies.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23919/full.
Objekt: PLoS One
9Zhang, C. ; Bu, Y. ; Ding, Y. ; Xu, J.: Understanding scientific collaboration : homophily, transitivity, and preferential attachment.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.72-86.
Abstract: Scientific collaboration is essential in solving problems and breeding innovation. Coauthor network analysis has been utilized to study scholars' collaborations for a long time, but these studies have not simultaneously taken different collaboration features into consideration. In this paper, we present a systematic approach to analyze the differences in possibilities that two authors will cooperate as seen from the effects of homophily, transitivity, and preferential attachment. Exponential random graph models (ERGMs) are applied in this research. We find that different types of publications one author has written play diverse roles in his/her collaborations. An author's tendency to form new collaborations with her/his coauthors' collaborators is strong, where the more coauthors one author had before, the more new collaborators he/she will attract. We demonstrate that considering the authors' attributes and homophily effects as well as the transitivity and preferential attachment effects of the coauthorship network in which they are embedded helps us gain a comprehensive understanding of scientific collaboration.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23916/full.
10Bu, Y. ; Ding, Y. ; Xu, J. ; Liang, X. ; Gao, G. ; Zhao, Y.: Understanding success through the diversity of collaborators and the milestone of career.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.87-97.
Abstract: Scientific collaboration is vital to many fields, and it is common to see scholars seek out experienced researchers or experts in a domain with whom they can share knowledge, experience, and resources. To explore the diversity of research collaborations, this article performs a temporal analysis on the scientific careers of researchers in the field of computer science. Specifically, we analyze collaborators using 2 indicators: the research topic diversity, measured by the Author-Conference-Topic model and cosine, and the impact diversity, measured by the normalized standard deviation of h-indices. We find that the collaborators of high-impact researchers tend to study diverse research topics and have diverse h-indices. Moreover, by setting PhD graduation as an important milestone in researchers' careers, we examine several indicators related to scientific collaboration and their effects on a career. The results show that collaborating with authoritative authors plays an important role prior to a researcher's PhD graduation, but working with non-authoritative authors carries more weight after PhD graduation.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23911/full.
11Maflahi, N. ; Thelwall, M.: How quickly do publications get read? : the evolution of mendeley reader counts for new articles.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.158-167.
Abstract: Within science, citation counts are widely used to estimate research impact but publication delays mean that they are not useful for recent research. This gap can be filled by Mendeley reader counts, which are valuable early impact indicators for academic articles because they appear before citations and correlate strongly with them. Nevertheless, it is not known how Mendeley readership counts accumulate within the year of publication, and so it is unclear how soon they can be used. In response, this paper reports a longitudinal weekly study of the Mendeley readers of articles in 6 library and information science journals from 2016. The results suggest that Mendeley readers accrue from when articles are first available online and continue to steadily build. For journals with large publication delays, articles can already have substantial numbers of readers by their publication date. Thus, Mendeley reader counts may even be useful as early impact indicators for articles before they have been officially published in a journal issue. If field normalized indicators are needed, then these can be generated when journal issues are published using the online first date.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23909/full.
Themenfeld: Informetrie ; Elektronisches Publizieren
12Kim, M. ; Baek, I. ; Song, M.: Topic diffusion analysis of a weighted citation network in biomedical literature.
In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.329-342.
Abstract: In this study, we propose a framework for detecting topic evolutions in weighted citation networks. Citation networks are important in studying knowledge flows; however, citation network analysis has primarily focused on binary networks in which the individual citation influences of each cited paper in a citing paper are considered identical, even though not all cited papers have a significant influence on the cited publication. Accordingly, it is necessary to build and analyze a citation network comprising scholarly publications that notably impact one another, thus identifying topic evolution in a more precise manner. To measure the strength of citation influence and identify paper topics, we employ a citation influence topic model primarily based on topical inheritance between cited and citing papers. Using scholarly publications in the field of the protein p53 as a case study, we build a citation network, filter it using citation influence values, and examine the diffusion of topics not only in the field but also in the subfields of p53.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23960/full.
13Wang, Q.: ¬A bibliometric model for identifying emerging research topics.
In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.290-304.
Abstract: Detecting emerging research topics is essential, not only for research agencies but also for individual researchers. Previous studies have created various bibliographic indicators for the identification of emerging research topics. However, as indicated by Rotolo et al. (Research Policy 44, 1827-1843, 2015), the most serious problems are the lack of an acknowledged definition of emergence and incomplete elaboration of the linkages between the definitions that are used and the indicators that are created. With these issues in mind, this study first adjusts the definition of an emerging technology that Rotolo et al. (2015) have proposed to accommodate the analysis. Next, a set of criteria for the identification of emerging topics is proposed according to the adjusted definition and attributes of emergence. Using two sets of parameter values, several emerging research topics are identified. Finally, evaluation tests are conducted by demonstration of the proposed approach and comparison with previous studies. The strength of the present methodology lies in the fact that it is fully transparent, straightforward, and flexible.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23930/full.
14Yi, D. (Hrsg.): Xie, Z. ; Ouyang, Z. ; Li, J. ; Dong, E.: Modelling transition phenomena of scientific coauthorship networks.
In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.305-317.
Abstract: In a range of scientific coauthorship networks, transitions emerge in degree distribution, in the correlation between degree and local clustering coefficient, etc. The existence of those transitions could be regarded because of the diversity in collaboration behaviors of scientific fields. A growing geometric hypergraph built on a cluster of concentric circles is proposed to model two specific collaboration behaviors, namely the behaviors of research team leaders and those of the other team members. The model successfully predicts the transitions, as well as many common features of coauthorship networks. Particularly, it realizes a process of deriving the complex "scale-free" property from the simple "yes/no" decisions. Moreover, it provides a reasonable explanation for the emergence of transitions with the difference of collaboration behaviors between leaders and other members. The difference emerges in the evolution of research teams, which synthetically addresses several specific factors of generating collaborations, namely the communications between research teams, academic impacts and homophily of authors.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23935/full.
15Schmidt, M.: ¬An analysis of the validity of retraction annotation in pubmed and the web of science.
In: Journal of the Association for Information Science and Technology. 69(2018) no.2, S.318-328.
Abstract: Research on scientific misconduct relies increasingly on retractions of articles. An interdisciplinary line of research has been established that empirically assesses the phenomenon of scientific misconduct using information on retractions, and thus aims to shed light on aspects of misconduct that previously were hidden. However, comparability and interpretability of studies are to a certain extent impeded by an absence of standards in corpus delineation and by the fact that the validity of this empirical data basis has never been systematically scrutinized. This article assesses the conceptual and empirical delineation of retractions against related publication types through a comparative analysis of the coverage and consistency of retraction annotation in the databases PubMed and the Web of Science (WoS), which are both commonly used for empicial studies on retractions. The searching and linking approaches of the WoS were subsequently evaluated. The results indicate that a considerable number of PubMed retracted publications and retractions are not labeled as such in the WoS or are indistinguishable from corrections, which is highly relevant for corpus and sample strategies in the WoS.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23913/full.
Objekt: PubMed ; Web of Science
16MacRoberts, M.H. ; MacRoberts, B.R.: ¬The mismeasure of science : citation analysis.
In: Journal of the Association for Information Science and Technology. 69(2018) no.3, S.474-482.
Abstract: For several decades we, among others, have criticized the use of citations for evaluative purposes. Although these criticisms have been noted, they have been largely brushed aside or ignored, not addressed head on. This may be for a number of reasons, but we believe the main one is that these criticisms undermine the desire to have an easy "scientific"-that is, quantitative-method of evaluation. Consequently, we continue and update our criticism of the use of citations for evaluation.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23970/full.
Themenfeld: Informetrie ; Citation indexing
17Zhai, Y ; Ding, Y. ; Wang, F.: Measuring the diffusion of an innovation : a citation analysis.
In: Journal of the Association for Information Science and Technology. 69(2018) no.3, S.368-379.
Abstract: Innovations transform our research traditions and become the driving force to advance individual, group, and social creativity. Meanwhile, interdisciplinary research is increasingly being promoted as a route to advance the complex challenges we face as a society. In this paper, we use Latent Dirichlet Allocation (LDA) citation as a proxy context for the diffusion of an innovation. With an analysis of topic evolution, we divide the diffusion process into five stages: testing and evaluation, implementation, improvement, extending, and fading. Through a correlation analysis of topic and subject, we show the application of LDA in different subjects. We also reveal the cross-boundary diffusion between different subjects based on the analysis of the interdisciplinary studies. The results show that as LDA is transferred into different areas, the adoption of each subject is relatively adjacent to those with similar research interests. Our findings further support researchers' understanding of the impact formation of innovation.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23898/full.
18Mir, T.A. ; Ausloos, M.: Benford's law : a "sleeping beauty" sleeping in the dirty pages of logarithmic tables.
In: Journal of the Association for Information Science and Technology. 69(2018) no.3, S.349-358.
Abstract: Benford's law is an empirical observation, first reported by Simon Newcomb in 1881 and then independently by Frank Benford in 1938: the first significant digits of numbers in large data are often distributed according to a logarithmically decreasing function. Being contrary to intuition, the law was forgotten as a mere curious observation. However, in the last two decades relevant literature has grown exponentially-an evolution typical of "Sleeping Beauties" (SBs) publications that go unnoticed (sleep) for a long time and then suddenly become the center of attention (are awakened). Thus, in the present study, we show that the two papers, Newcomb (1881) and Benford (1938), Newcomb (1881, American Journal of Mathematics, 4, 39-40) and Benford (1938, Proc. Am. Phil. Soc., 78, 551-572) papers are clearly SBs. The former was in a deep sleep for 110 years, whereas the latter was in a deep sleep for a comparatively lesser period of 31 years up to 1968, and in a state of less deep sleep for another 27 years, up to 1995. Both SBs were awakened in the year 1995 by Hill (1995a, Statistical Science, 10, 354-363). In so doing, we show that the waking prince (Hill, 1995a) is more often quoted than the SB whom he kissed-in this Benford's law case, wondering whether this is a general effect-to be usefully studied.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23845/full.
19Castanha, R.C.G. ; Wolfram, D.: ¬The domain of knowledge organization : a bibliometric analysis of prolific authors and their intellectual space.
In: Knowledge organization. 45(2018) no.1, S.13-22.
Abstract: The domain of knowledge organization (KO) represents a foundational area of information science. One way to better understand the intellectual structure of the KO domain is to apply bibliometric methods to key contributors to the literature. This study analyzes the most prolific contributing authors to the journal Knowledge Organization, the sources they cite and the citations they receive for the period 1993 to 2016. The analyses were conducted using visualization outcomes of citation, co-citation and author bibliographic coupling analysis to reveal theoretical points of reference among authors and the most prominent research themes that constitute this scientific community. Birger Hjørland was the most cited author, and was situated at or near the middle of each of the maps based on different citation relationships. The proximities between authors resulting from the different citation relationships demonstrate how authors situate themselves intellectually through the citations they give and how other authors situate them through the citations received. There is a consistent core of theoretical references as well among the most productive authors. We observed a close network of scholarly communication between the authors cited in this core, which indicates the actual role of the journal Knowledge Organization as a space for knowledge construction in the area of knowledge organization.
20Bu, Y. ; Ding, Y. ; Liang, X. ; Murray, D.S.: Understanding persistent scientific collaboration.
In: Journal of the Association for Information Science and Technology. 69(2018) no.3, S.438-448.
Abstract: Common sense suggests that persistence is key to success. In academia, successful researchers have been found more likely to be persistent in publishing, but little attention has been given to how persistence in maintaining collaborative relationships affects career success. This paper proposes a new bibliometric understanding of persistence that considers the prominent role of collaboration in contemporary science. Using this perspective, we analyze the relationship between persistent collaboration and publication quality along several dimensions: degree of transdisciplinarity, difference in coauthor's scientific age and their scientific impact, and research-team size. Contrary to traditional wisdom, our results show that persistent scientific collaboration does not always result in high-quality papers. We find that the most persistent transdisciplinary collaboration tends to output high-impact publications, and that those coauthors with diverse scientific impact or scientific ages benefit from persistent collaboration more than homogeneous compositions. We also find that researchers persistently working in large groups tend to publish lower-impact papers. These results contradict the colloquial understanding of collaboration in academia and paint a more nuanced picture of how persistent scientific collaboration relates to success, a picture that can provide valuable insights to researchers, funding agencies, policy makers, and mentor-mentee program directors. Moreover, the methodology in this study showcases a feasible approach to measure persistent collaboration.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23966/full.