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)
21Abad-García, M.-F. ; González-Teruel, A. ; González-Llinares, J.: Effectiveness of OpenAIRE, BASE, Recolecta, and Google Scholar at finding spanish articles in repositories.
In: Journal of the Association for Information Science and Technology. 69(2018) no.4, S.619-622.
Abstract: This paper explores the usefulness of OpenAIRE, BASE, Recolecta, and Google Scholar (GS) for evaluating open access (OA) policies that demand a deposit in a repository. A case study was designed focusing on 762 financed articles with a project of FIS-2012 of the Instituto de Salud Carlos III, the Spanish national health service's main management body for health research. Its finance is therefore subject to the Spanish Government OA mandate. A search was carried out for full-text OA copies of the 762 articles using the four tools being evaluated and with identification of the repository housing these items. Of the 762 articles concerned, 510 OA copies were found of 353 unique articles (46.3%) in 68 repositories. OA copies were found of 81.9% of the articles in PubMed Central and copies of 49.5% of the articles in an institutional repository (IR). BASE and GS identified 93.5% of the articles and OpenAIRE 86.7%. Recolecta identified just 62.2% of the articles deposited in a Spanish IR. BASE achieved the greatest success, by locating copies deposited in IR, while GS found those deposited in disciplinary repositories. None of the tools identified copies of all the articles, so they need to be used in a complementary way when evaluating OA policies.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23975.
Themenfeld: Informetrie ; Elektronisches Publizieren
Objekt: OpenAIRE ; BASE ; Recolecta ; Google Scholar
22Perez-Molina, E.: ¬The role of patent citations as a footprint of technology.
In: Journal of the Association for Information Science and Technology. 69(2018) no.4, S.610-618.
Abstract: The fact that patents are documents highly constrained by law and structured by international treaties make them a unique body of publications for tracing the history and evolution of technology. The distinctiveness of prior art patent citations compared to bibliographic references in the nonpatent literature is discussed. Starting from these observations and using the patent classification scheme as a framework of reference, we have identified a data structure, the "technology footprint," derived from the patents cited as prior art for a selected set of patents. This data structure will provide us with dynamic information about the technological components of the selected set of patents, which represents a technology, company, or inventor. Two case studies are presented in order to illustrate the visualization of the technology footprint: one concerning an inventor-Mr. Engelbart, the inventor of the "computer mouse"-and another concerning the early years of a technology-computerized tomography.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23979.
23Bornmann, L. ; Ye, A. ; Ye, F.: Identifying landmark publications in the long run using field-normalized citation data.
In: Journal of documentation. 74(2018) no.2, S.278-288.
Abstract: The purpose of this paper is to propose an approach for identifying landmark papers in the long run. These publications reach a very high level of citation impact and are able to remain on this level across many citing years. In recent years, several studies have been published which deal with the citation history of publications and try to identify landmark publications. Design/methodology/approach In contrast to other studies published hitherto, this study is based on a broad data set with papers published between 1980 and 1990 for identifying the landmark papers. The authors analyzed the citation histories of about five million papers across 25 years. Findings The results of this study reveal that 1,013 papers (less than 0.02 percent) are "outstandingly cited" in the long run. The cluster analyses of the papers show that they received the high impact level very soon after publication and remained on this level over decades. Only a slight impact decline is visible over the years. Originality/value For practical reasons, approaches for identifying landmark papers should be as simple as possible. The approach proposed in this study is based on standard methods in bibliometrics.
Inhalt: Vgl.: https://www.emeraldinsight.com/doi/full/10.1108/JD-07-2017-0108.
24Colavizza, G. ; Boyack, K.W. ; Eck, N.J. van ; Waltman, L.: ¬The closer the better : similarity of publication pairs at different cocitation levels.
In: Journal of the Association for Information Science and Technology. 69(2018) no.4, S.600-609.
Abstract: We investigated the similarities of pairs of articles that are cocited at the different cocitation levels of the journal, article, section, paragraph, sentence, and bracket. Our results indicate that textual similarity, intellectual overlap (shared references), author overlap (shared authors), proximity in publication time all rise monotonically as the cocitation level gets lower (from journal to bracket). While the main gain in similarity happens when moving from journal to article cocitation, all level changes entail an increase in similarity, especially section to paragraph and paragraph to sentence/bracket levels. We compared the results from four journals over the years 2010-2015: Cell, the European Journal of Operational Research, Physics Letters B, and Research Policy, with consistent general outcomes and some interesting differences. Our findings motivate the use of granular cocitation information as defined by meaningful units of text, with implications for, among others, the elaboration of maps of science and the retrieval of scholarly literature.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23981.
25Thelwall, M. ; Levitt, J.M.: National scientific performance evolution patterns : retrenchment, successful expansion, or overextension.
In: Journal of the Association for Information Science and Technology. 69(2018) no.5, S.720-727.
Abstract: National governments would like to preside over an expanding and increasingly high-impact science system but are these two goals largely independent or closely linked? This article investigates the relationship between changes in the share of the world's scientific output and changes in relative citation impact for 2.6 million articles from 26 fields in the 25 countries with the most Scopus-indexed journal articles from 1996 to 2015. There is a negative correlation between expansion and relative citation impact, but their relationship varies. China, Spain, Australia, and Poland were successful overall across the 26 fields, expanding both their share of the world's output and its relative citation impact, whereas Japan, France, Sweden, and Israel had decreased shares and relative citation impact. In contrast, the USA, UK, Germany, Italy, Russia, The Netherlands, Switzerland, Finland, and Denmark all enjoyed increased relative citation impact despite a declining share of publications. Finally, India, South Korea, Brazil, Taiwan, and Turkey all experienced sustained expansion but a recent fall in relative citation impact. These results may partly reflect changes in the coverage of Scopus and the selection of fields.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23969.
26Serenko, A. ; Bontis, N.: ¬A critical evaluation of expert survey-based journal rankings : the role of personal research interests.
In: Journal of the Association for Information Science and Technology. 69(2018) no.5, S.749-752.
Abstract: By using the data from two recent survey-based rankings of knowledge management / intellectual capital and eHealth journals, this study tests the impact of personal research interests of journal raters on their ranking scores. The rationale is that raters assign higher scores to journals that cater to their area of expertise because they are more familiar with them. The results indicate the existence of raters' bias toward the journals focusing on their preferred areas of interest, but this bias does not uniformly apply across all research topics. In some subdomains, such as intellectual capital, this bias may be very strong, whereas in others, such as soft-side knowledge management research, it may be nonexistent. Although management eHealth researchers rate management-focused journals higher than their clinical-centered counterparts, this bias does not exist among scholars favoring clinical topics. While this limitation is not fatal, the results from expert-survey journal ranking studies should be interpreted with caution.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23985.
27Schlögl, C. ; List, R,: Vergleiche von Zitaten, Downloads und Lesehäufigkeiten : am Beispiel von zwei Volkswirtschaftslehre-Zeitschriften.
In: Information - Wissenschaft und Praxis. 69(2018) H.1, S.121-128.
Abstract: Im vorliegenden Beitrag untersuchen wir die Beziehung zwischen Zitaten, Downloads und sog. Lesehäufigkeiten des sozialen Literaturverwaltungssystems "Mendeley" anhand der beiden Volkswirtschaftslehre-Zeitschriften "Journal of Environmental Economics and Management" und "Journal of Financial Economics". Trotz Ähnlichkeiten bei den Häufigkeitsverteilungen, konnten wir großteils nur mittlere (Rang)Korrelationen zwischen den drei Zeitschriftenindikatoren berechnen. In den drei Top-10 Rankings kam es zur Überschneidung von nur drei Publikationen. Deutliche Unterschiede gibt es bei den Alters- und Nutzerstrukturen. Während der Großteil der Mendeley-Nutzer Studierende sind, ist der Anteil der Professoren relativ gering. Durch die Mendeley-Profile kann ermittelt werden, aus welchen Disziplinen die Leser einer Zeitschrift kommen. Dies lässt vor allem bei interdisziplinären Zeitschriften wie "Journal of Financial Economics" interessante Rückschlüsse zu. Ähnlich wie bei Zitaten, gibt es auch bei Downloads und Lesehäufigkeiten disziplinspezifische Unterschiede.
Inhalt: Vgl.: DOI: https://doi.org/10.1515/iwp-2018-0005.
Anmerkung: Teil eines Themenheftes: Themenheft: Düsseldorfer und Grazer Informationswissenschaft / Gastherausgeber: Wolfgang G. Stock, Christian Schlögl.
28Ahlgren, P. ; Colliander, C. ; Sjögårde, P.: Exploring the relation between referencing practices and citation impact : a large-scale study based on Web of Science data.
In: Journal of the Association for Information Science and Technology. 69(2018) no.5, S.728-743.
Abstract: In this large-scale contribution, we deal with the relationship between properties of cited references of Web of Science articles and the field normalized citation rate of these articles. Using nearly 1 million articles, and three classification systems with different levels of granularity, we study the effects of number of cited references, share of references covered by Web of Science, mean age of references and mean citation rate of references on field normalized citation rate. To expose the relationship between the predictor variables and the response variable, we use quantile regression. We found that a higher number of references, a higher share of references to publications within Web of Science and references to more recent publications correlate with citation impact. A correlation was observed even when normalization was done with a finely grained classification system. The predictor variables affected citation impact to a larger extent at higher quantile levels. Regarding the relative importance of the predictor variables, citation impact of the cited references was in general the least important variable. Number of cited references carried most of the importance for both low and medium quantile levels, but this importance was lessened at the highest considered level.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.23986.
Objekt: Web of Science
29Vaughan, L. ; Ninkov, A.: ¬A new approach to web co-link analysis.
In: Journal of the Association for Information Science and Technology. 69(2018) no.6, S.820-831.
Abstract: Numerous web co-link studies have analyzed a wide variety of websites ranging from those in the academic and business arena to those dealing with politics and governments. Such studies uncover rich information about these organizations. In recent years, however, there has been a dearth of co-link analysis, mainly due to the lack of sources from which co-link data can be collected directly. Although several commercial services such as Alexa provide inlink data, none provide co-link data. We propose a new approach to web co-link analysis that can alleviate this problem so that researchers can continue to mine the valuable information contained in co-link data. The proposed approach has two components: (a) generating co-link data from inlink data using a computer program; (b) analyzing co-link data at the site level in addition to the page level that previous co-link analyses have used. The site-level analysis has the potential of expanding co-link data sources. We tested this proposed approach by analyzing a group of websites focused on vaccination using Moz inlink data. We found that the approach is feasible, as we were able to generate co-link data from inlink data and analyze the co-link data with multidimensional scaling.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24000.
30Yan, E. ; Li, K.: Which domains do open-access journals do best in? : a 5-year longitudinal study.
In: Journal of the Association for Information Science and Technology. 69(2018) no.6, S.844-856.
Abstract: Although researchers have begun to investigate the difference in scientific impact between closed-access and open-access journals, studies that focus specifically on dynamic and disciplinary differences remain scarce. This study serves to fill this gap by using a large longitudinal dataset to examine these differences. Using CiteScore as a proxy for journal scientific impact, we employ a series of statistical tests to identify the quartile categories and disciplinary areas in which impact trends differ notably between closed- and open-access journals. We find that closed-access journals have a noticeable advantage in social sciences (for example, business and economics), whereas open-access journals perform well in medical and healthcare domains (for example, health profession and nursing). Moreover, we find that after controlling for a journal's rank and disciplinary differences, there are statistically more closed-access journals in the top 10%, Quartile 1, and Quartile 2 categories as measured by CiteScore; in contrast, more open-access journals in Quartile 4 gained scientific impact from 2011 to 2015. Considering dynamic and disciplinary trends in tandem, we find that more closed-access journals in Social Sciences gained in impact, whereas in biochemistry and medicine, more open-access journals experienced such gains.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24002.
31Didegah, F. ; Bowman, T.D. ; Holmberg, K.: On the differences between citations and altmetrics : an investigation of factors driving altmetrics versus citations for finnish articles.
In: Journal of the Association for Information Science and Technology. 69(2018) no.6, S.832-843.
Abstract: This study examines a range of factors associated with future citation and altmetric counts to a paper. The factors include journal impact factor, individual collaboration, international collaboration, institution prestige, country prestige, research funding, abstract readability, abstract length, title length, number of cited references, field size, and field type and will be modeled in association with citation counts, Mendeley readers, Twitter posts, Facebook posts, blog posts, and news posts. The results demonstrate that eight factors are important for increased citation counts, seven different factors are important for increased Mendeley readers, eight factors are important for increased Twitter posts, three factors are important for increased Facebook posts, six factors are important for increased blog posts, and five factors are important for increased news posts. Journal impact factor and international collaboration are the two factors that significantly associate with increased citation counts and with all altmetric scores. Moreover, it seems that the factors driving Mendeley readership are similar to those driving citation counts. However, the altmetric events differ from each other in terms of a small number of factors; for instance, institution prestige and country prestige associate with increased Mendeley readers and blog and news posts, but it is an insignificant factor for Twitter and Facebook posts. The findings contribute to the continued development of theoretical models and methodological developments associated with capturing, interpreting, and understanding altmetric events.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/toc/23301643/69/6.
32Zhang, P. ; Wang, OP. ; Wu, Q.: How are the best JASIST papers cited?.
In: Journal of the Association for Information Science and Technology. 69(2018) no.6, S.857-860.
Abstract: This study compares the 45 "Best Paper" award articles with nonaward articles published in the Journal of Association for Information Science and Technology (JASIST) to observe the differences in citations. The results show that, in most cases, the citations of the award articles are more numerous than the median, belonging to the Top-50% stratum. Only 15.6% of the award articles have the status of being the most-cited article of the year in which the article was published; 24.4% belong to the Top-5% stratum of the publication year; 44.4% belong to the Top-10% stratum of the publication year; and 73.3% belong to the Top-25% stratum of the publication year. Surprisingly, from 2000 to 2012, none of the award articles made it to the Top-10% stratum, apart from the year 2004; the least-cited award article received only three citations during a 5-year period. The results show a wide range of citations among the Best JASIST Papers. This study also observes that the number of articles changed little from 1969 to 1995 but grew rapidly from 1996 to 2012. Suggestions for possible ways to better meet the challenges of the journal's growth in size and scope in selecting award articles are provided.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/toc/23301643/69/6.
33Hammarfelt, B. ; Haddow, G.: Conflicting measures and values : how humanities scholars in Australia and Sweden use and react to bibliometric indicators.
In: Journal of the Association for Information Science and Technology. 69(2018) no.7, S.924-935.
Abstract: While bibliometric indicators, such as the journal impact factor, have long played an important role in many STEM disciplines it has been repeatedly shown that established bibliometric methods have limited use in the humanities. Using a questionnaire on metrics use and publication practices in Australia and Sweden, we tested the assumption that indicators play a minor role among humanities scholars. Our findings show that our respondents use indicators to a considerable degree, with a range of indicators and rankings being employed. The scholars use metrics as part of institutional policy, in CVs and applications, as well as for general promotion of their work. Notable in our results is that a much larger share of researchers (62%) in Australia used metrics compared to Sweden (14%). Scholar's attitudes regarding bibliometrics are mixed; many are critical of these measures, while at the same time feeling pressured to use them. One main tension described by our respondents is between intradisciplinary criteria of quality and formalized indicators, and negotiating these "orders of worth" is a challenging balancing act, especially for younger researchers.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24043.
Land/Ort: AUS ; S
34Didegah, F. ; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks.
In: Journal of the Association for Information Science and Technology. 69(2018) no.8, S.959-973.
Abstract: Counts of tweets and Mendeley user libraries have been proposed as altmetric alternatives to citation counts for the impact assessment of articles. Although both have been investigated to discover whether they correlate with article citations, it is not known whether users tend to tweet or save (in Mendeley) the same kinds of articles that they cite. In response, this article compares pairs of articles that are tweeted, saved to a Mendeley library, or cited by the same user, but possibly a different user for each source. The study analyzes 1,131,318 articles published in 2012, with minimum tweeted (10), saved to Mendeley (100), and cited (10) thresholds. The results show surprisingly minor overall overlaps between the three phenomena. The importance of journals for Twitter and the presence of many bots at different levels of activity suggest that this site has little value for impact altmetrics. The moderate differences between patterns of saving and citation suggest that Mendeley can be used for some types of impact assessments, but sensitivity is needed for underlying differences.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24028.
35Zhao, D. ; Strotmann, A. ; Cappello, A.: In-text function of author self-citations : implications for research evaluation practice.
In: Journal of the Association for Information Science and Technology. 69(2018) no.7, S.949-952.
Abstract: Author self-citations were examined as to their function, frequency, and location in the full text of research articles and compared with external citations. Function analysis was based on manual coding of a small dataset in the field of library and information studies, whereas the analyses by frequency and location used both this small dataset and a large dataset from PubMed Central. Strong evidence was found that self-citations appear more likely to serve as substantial citations in a text than do external citations. This finding challenges previous studies that assumed that self-citations should be discounted or even removed and suggests that self-citations should be given more weight in citation analysis, if anything.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24046.
36Aledo, J.A. ; Gámez, J.A. ; Molina, D. ; Rosete, A.: Consensus-based journal rankings : a complementary tool for bibliometric evaluation.
In: Journal of the Association for Information Science and Technology. 69(2018) no.7, S.936-948.
Abstract: Annual journal rankings are usually considered a tool for the evaluation of research and researchers. Although they are an objective resource for such evaluation, they also present drawbacks: (a) the uncertainty about the definite position of a target journal in the corresponding annual ranking when selecting a journal, and (b) in spite of the nonsignificant difference in score (for instance, impact factor) between consecutive journals in the ranking, the journals are strictly ranked and eventually placed in different terciles/quartiles, which may have a significant influence in the subsequent evaluation. In this article we present several proposals to obtain an aggregated consensus ranking as an alternative/complementary tool to standardize annual rankings. To illustrate the proposed methodology we use as a case study the Journal Citation Reports, and in particular the category of Computer Science: Artificial Intelligence (CS:AI). In the context of the consensus rankings obtained by the different methods, we discuss the convenience of using one or the other procedure according to the corresponding framework. In particular, our proposals allow us to obtain consensus rankings that avoid crisp frontiers between similarly ranked journals and consider the longitudinal/temporal evolution of the journals.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24040.
37He, Z. ; Lei, Z. ; Wang, D.: Modeling citation dynamics of "atypical" articles.
In: Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1148-1160.
Abstract: Modeling and predicting citation dynamics of individual articles is important due to its critical role in a wide range of decisions in science. While the current modeling framework successfully captures citation dynamics of typical articles, there exists a nonnegligible, and perhaps most interesting, fraction of atypical articles whose citation trajectories do not follow the normal rise-and-fall pattern. Here we systematically study and classify citation patterns of atypical articles, finding that they can be characterized by awakened articles, second-acts, and a combination of both. We propose a second-act model that can accurately describe the citation dynamics of second-act articles. The model not only provides a mechanistic framework to understand citation patterns of atypical articles, separating factors that drive impact, but it also offers new capabilities to identify the time of exogenous events that influence citations.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24041.
38Zubiaga, A.: ¬A longitudinal assessment of the persistence of twitter datasets.
In: Journal of the Association for Information Science and Technology. 69(2018) no.8, S.974-984.
Abstract: Social media datasets are not always completely replicable. Having to adhere to requirements of platforms such as Twitter, researchers can only release a list of unique identifiers, which others can then use to recollect the data themselves. This leads to subsets of the data no longer being available, as content can be deleted or user accounts deactivated. To quantify the long-term impact of this in the replicability of datasets, we perform a longitudinal analysis of the persistence of 30 Twitter datasets, which include more than 147 million tweets. By recollecting Twitter datasets ranging from 0 to 4 years old by using the tweet IDs, we look at four different factors quantifying the extent to which recollected datasets resemble original ones: completeness, representativity, similarity, and changingness. Although the ratio of available tweets keeps decreasing as the dataset gets older, we find that the textual content of the recollected subset is still largely representative of the original dataset. The representativity of the metadata, however, keeps fading over time, both because the dataset shrinks and because certain metadata, such as the users' number of followers, keeps changing. Our study has important implications for researchers sharing and using publicly shared Twitter datasets in their research.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24026.
39Perianes-Rodriguez, A. ; Ruiz-Castillo, J.: ¬The impact of classification systems in the evaluation of the research performance of the Leiden Ranking universities.
In: Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1046-1053.
Abstract: In this article, we investigate the consequences of choosing different classification systems-namely, the way publications (or journals) are assigned to scientific fields-for the ranking of research units. We study the impact of this choice on the ranking of 500 universities in the 2013 edition of the Leiden Ranking in two cases. First, we compare a Web of Science (WoS) journal-level classification system, consisting of 236 subject categories, and a publication-level algorithmically constructed system, denoted G8, consisting of 5,119 clusters. The result is that the consequences of the move from the WoS to the G8 system using the Top 1% citation impact indicator are much greater than the consequences of this move using the Top 10% indicator. Second, we compare the G8 classification system and a publication-level alternative of the same family, the G6 system, consisting of 1,363 clusters. The result is that, although less important than in the previous case, the consequences of the move from the G6 to the G8 system under the Top 1% indicator are still of a large order of magnitude.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.24017.
40Min, C. ; Ding, Y. ; Li, J. ; Bu, Y. ; Pei, L. ; Sun, J.: Innovation or imitation : the diffusion of citations.
In: Journal of the Association for Information Science and Technology. 69(2018) no.10, S.1271-1282.
Abstract: Citations in scientific literature are important both for tracking the historical development of scientific ideas and for forecasting research trends. However, the diffusion mechanisms underlying the citation process remain poorly understood, despite the frequent and longstanding use of citation counts for assessment purposes within the scientific community. Here, we extend the study of citation dynamics to a more general diffusion process to understand how citation growth associates with different diffusion patterns. Using a classic diffusion model, we quantify and illustrate specific diffusion mechanisms which have been proven to exert a significant impact on the growth and decay of citation counts. Experiments reveal a positive relation between the "low p and low q" pattern and high scientific impact. A sharp citation peak produced by rapid change of citation counts, however, has a negative effect on future impact. In addition, we have suggested a simple indicator, saturation level, to roughly estimate an individual article's current stage in the life cycle and its potential to attract future attention. The proposed approach can also be extended to higher levels of aggregation (e.g., individual scientists, journals, institutions), providing further insights into the practice of scientific evaluation.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24047.