Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
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1Araújo, P.C. de ; Gutierres Castanha, R.C. ; Hjoerland, B.: Citation indexing and indexes.
In: Knowledge organization. 48(2021) no.1, S.72-101.
(Reviews of Concepts in Knowledge Organization)
Abstract: A citation index is a bibliographic database that provides citation links between documents. The first modern citation index was suggested by the researcher Eugene Garfield in 1955 and created by him in 1964, and it represents an important innovation to knowledge organization and information retrieval. This article describes citation indexes in general, considering the modern citation indexes, including Web of Science, Scopus, Google Scholar, Microsoft Academic, Crossref, Dimensions and some special citation indexes and predecessors to the modern citation index like Shepard's Citations. We present comparative studies of the major ones and survey theoretical problems related to the role of citation indexes as subject access points (SAP), recognizing the implications to knowledge organization and information retrieval. Finally, studies on citation behavior are presented and the influence of citation indexes on knowledge organization, information retrieval and the scientific information ecosystem is recognized.
Themenfeld: Citation indexing
Objekt: Science Citation Index ; Google Scholar ; Web of Science ; Shepard's Citations ; Scopus ; Microsoft Academic ; Crossref ; Dimensions
2Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020.[11.11.2020].
Abstract: Conclusion There is a reason why Google Scholar and Web of Science/Scopus are kings of the hills in their various arenas. They have strong brand recogniton, a head start in development and a mass of eyeballs and users that leads to an almost virtious cycle of improvement. Competing against such well established competitors is not easy even when one has deep pockets (Microsoft) or a killer idea (scite). It will be interesting to see how the landscape will look like in 2030. Stay tuned for part II where I review each particular index.
Themenfeld: Citation indexing
Objekt: Web of Science ; Google Scholar ; Scopus ; Dimensions ; Semantic Scholar ; Microsoft Academic
3Buente, W. ; Baybayan, C.K. ; Hajibayova, L. ; McCorkhill, M. ; Panchyshyn, R.: Exploring the renaissance of wayfinding and voyaging through the lens of knowledge representation, organization and discovery systems.
In: Journal of documentation. 76(2020) no.6, S.1279-1293.
Abstract: The purpose of this paper is to provide a critical analysis from an ethical perspective of how the concept of indigenous wayfinding and voyaging is mapped in knowledge representation, organization and discovery systems. Design/methodology/approach In this study, the Dewey Decimal Classification, the Library of Congress Subject Headings, the Library of Congress Classifications systems and the Web of Science citation database were methodically examined to determine how these systems represent and facilitate the discovery of indigenous knowledge of wayfinding and voyaging. Findings The analysis revealed that there was no dedicated representation of the indigenous practices of wayfinding and voyaging in the major knowledge representation, organization and discovery systems. By scattering indigenous practice across various, often very broad and unrelated classes, coherence in the record is disrupted, resulting in misrepresentation of these indigenous concepts. Originality/value This study contributes to a relatively limited research literature on representation and organization of indigenous knowledge of wayfinding and voyaging. This study calls to foster a better understanding and appreciation for the rich knowledge that indigenous cultures provide for an enlightened society.
Inhalt: Vgl.: https://doi.org/10.1108/JD-10-2019-0212.
Objekt: DDC ; LCSH ; LCC ; Web of Science
4Shu, 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
5Lin, F.-T.: Drawing a knowledge map of smart city knowledge in academia.
In: Knowledge organization. 46(2019) no.6, S.419-438.
Abstract: This research takes the academic articles in the Web of Science's core collection database as a corpus to draw a series of knowledge maps, to explore the relationships, connectivity, dis-tribution, and evolution among their keywords with respect to smart cities in the last decade. Beyond just drawing a text cloud or measuring their sizes, we further explore their texture by iden-tifying the hottest keywords in academic articles, construct links between and among them that share common keywords, identify islands, rocks, reefs that are formed by connected articles-a metaphor inspired by Ong et al. (2005)-and analyze trends in their evolution. We found the following phenomena: 1) "Internet of Things" is the most frequently mentioned keyword in recent research articles; 2) the numbers of islands and reefs are increas-ing; 3) the evolutions of the numbers of weighted links have frac-tal-like structure; and, 4) the coverage of the largest rock, formed by articles that share a common keyword, in the largest island is converging into around 10% to 20%. These phenomena imply that a common interest in the technology of smart cities has been emerging among researchers. However, the administrative, social, economic, and cultural issues need more attention in academia in the future.
Objekt: Web of Science
6Kassian, A. ; Melikhova, L.: Russian Science Citation Index on the WoS platform : a critical assessment.
In: Journal of documentation. 75(2019) no.5, S.1162-1168.
Abstract: Purpose The purpose of this paper is to evaluate the journals of the Russian Science Citation Index (RSCI) (Web of Science platform) in respect to publication misconduct and predatory practices. Design/methodology/approach The paper employs formal criteria developed by the Disseropedia of Russian Journals (a.k.a. the Journal Project of the Russian Dissernet). Findings A substantial number of the RSCI journals violate publishing ethics and/or are involved in predatory practices (fake peer-review, plagiarism and self-plagiarism, publication of pseudoscientific papers and so on). The general trend is negative: the number of such journals was higher in July 2018 than in 2015 when the RSCI was launched. The authors propose that this situation is due to the non-transparent and partly defective process of journal selection involved; primarily it can be attributed to problems with the RSCI expert pool. Research limitations/implications Many cases of publication misconduct are inevitably overlooked due to natural limitations of the tools. Originality/value The approach and methods were developed by the Disseropedia of Russian Journals and the Dissernet for the specific local Russian situation, where the scientific and editorial community is corrupt and the institution of reputation does not work properly. The authors believe that the experience may also be helpful for scientists and academic officials from other countries.
Inhalt: Vgl.: https://doi.org/10.1108/JD-02-2019-0033.
Anmerkung: A preliminary version of this paper was published in Russian in the independent newspaper of Russian scientists Troitsky Variant - Science, August 14, 2018 (https://trv-science.ru/2018/08/14/rsci-2018/). The authors are grateful to Anna Kuleshova (Committee on Publication Ethics of the Russian Association of Science Editors and Publishers, Moscow) who maintains the database of Russian retracted articles (https://rasep.ru/sovet-po-etike/retracted-articles), for her valuable help in RSCI journal list analysis.
Objekt: Russian Science Citation Index ; Web of Science
7Schmidt, 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
8Ahlgren, 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
9Subelj, L. ; Fiala, D.: Publication boost in web of science journals and its effect on citation distributions.
In: Journal of the Association for Information Science and Technology. 68(2017) no.4, S.1018-1023.
Abstract: In this article, we show that the dramatic increase in the number of research articles indexed in the Web of Science database impacts the commonly observed distributions of citations within these articles. First, we document that the growing number of physics articles in recent years is attributed to existing journals publishing more and more articles rather than more new journals coming into being as it happens in computer science. Second, even though the references from the more recent articles generally cover a longer time span, the newer articles are cited more frequently than the older ones if the uneven article growth is not corrected for. Nevertheless, despite this change in the distribution of citations, the citation behavior of scientists does not seem to have changed.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23718/full.
Objekt: Web of science
10Zhang, J. ; Yu, Q. ; Zheng, F. ; Long, C. ; Lu, Z. ; Duan, Z.: Comparing keywords plus of WOS and author keywords : a case study of patient adherence research.
In: Journal of the Association for Information Science and Technology. 67(2016) no.4, S.967-972.
Abstract: Bibliometric analysis based on literature in the Web of Science (WOS) has become an increasingly popular method for visualizing the structure of scientific fields. Keywords Plus and Author Keywords are commonly selected as units of analysis, despite the limited research evidence demonstrating the effectiveness of Keywords Plus. This study was conceived to evaluate the efficacy of Keywords Plus as a parameter for capturing the content and scientific concepts presented in articles. Using scientific papers about patient adherence that were retrieved from WOS, a comparative assessment of Keywords Plus and Author Keywords was performed at the scientific field level and the document level, respectively. Our search yielded more Keywords Plus terms than Author Keywords, and the Keywords Plus terms were more broadly descriptive. Keywords Plus is as effective as Author Keywords in terms of bibliometric analysis investigating the knowledge structure of scientific fields, but it is less comprehensive in representing an article's content.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23437/abstract.
Objekt: Web of Science
11Leydesdorff, L. ; Moya-Anegón, F. de ; Nooy, W. de: Aggregated journal-journal citation relations in scopus and web of science matched and compared in terms of networks, maps, and interactive overlays.
In: Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2194-2211.
Abstract: We compare the network of aggregated journal-journal citation relations provided by the Journal Citation Reports (JCR) 2012 of the Science Citation Index (SCI) and Social Sciences Citation Index (SSCI) with similar data based on Scopus 2012. First, global and overlay maps were developed for the 2 sets separately. Using fuzzy-string matching and ISSN numbers, we were able to match 10,524 journal names between the 2 sets: 96.4% of the 10,936 journals contained in JCR, or 51.2% of the 20,554 journals covered by Scopus. Network analysis was pursued on the set of journals shared between the 2 databases and the 2 sets of unique journals. Citations among the shared journals are more comprehensively covered in JCR than in Scopus, so the network in JCR is denser and more connected than in Scopus. The ranking of shared journals in terms of indegree (i.e., numbers of citing journals) or total citations is similar in both databases overall (Spearman rank correlation ??>?0.97), but some individual journals rank very differently. Journals that are unique to Scopus seem to be less important-they are citing shared journals rather than being cited by them-but the humanities are covered better in Scopus than in JCR.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23372/full.
Objekt: Scopus ; Web of science
12Olensky, M. ; Schmidt, M. ; Eck, N.J. van: Evaluation of the citation matching algorithms of CWTS and iFQ in comparison to the Web of science.
In: Journal of the Association for Information Science and Technology. 67(2016) no.10, S.2550-2564.
Abstract: The results of bibliometric studies provided by bibliometric research groups, for example, the Centre for Science and Technology Studies (CWTS) and the Institute for Research Information and Quality Assurance (iFQ), are often used in the process of research assessment. Their databases use Web of Science (WoS) citation data, which they match according to their own matching algorithms-in the case of CWTS for standard usage in their studies and in the case of iFQ on an experimental basis. Because the problem of nonmatched citations in the WoS persists due to inaccuracies in the references or inaccuracies introduced in the data extraction process, it is important to ascertain how well these inaccuracies are rectified in these citation matching algorithms. This article evaluates the algorithms of CWTS and iFQ in comparison to the WoS in a quantitative and a qualitative analysis. The analysis builds upon the method and the manually verified corpus of a previous study. The algorithm of CWTS performs best, closely followed by that of iFQ. The WoS algorithm still performs quite well (F1 score: 96.41%), but shows deficits in matching references containing inaccuracies. An additional problem is posed by incorrectly provided cited reference information in source articles by the WoS.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23590/full.
Objekt: Web of science
13Fang, H.: Classifying research articles in multidisciplinary sciences journals into subject categories.
In: Knowledge organization. 42(2015) no.3, S.139-153.
Abstract: In the Thomson Reuters Web of Science database, the subject categories of a journal are applied to all articles in the journal. However, many articles in multidisciplinary Sciences journals may only be represented by a small number of subject categories. To provide more accurate information on the research areas of articles in such journals, we can classify articles in these journals into subject categories as defined by Web of Science based on their references. For an article in a multidisciplinary sciences journal, the method counts the subject categories in all of the article's references indexed by Web of Science, and uses the most numerous subject categories of the references to determine the most appropriate classification of the article. We used articles in an issue of Proceedings of the National Academy of Sciences (PNAS) to validate the correctness of the method by comparing the obtained results with the categories of the articles as defined by PNAS and their content. This study shows that the method provides more precise search results for the subject category of interest in bibliometric investigations through recognition of articles in multidisciplinary sciences journals whose work relates to a particular subject category.
Inhalt: Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_42_2015_3.pdf.
Themenfeld: Automatisches Klassifizieren
Objekt: Web of science
14Rotolo, D. ; Leydesdorff, L.: Matching Medline/PubMed data with Web of Science: A routine in R language.
In: Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2155-2159.
Abstract: We present a novel routine, namely medlineR, based on the R language, that allows the user to match data from Medline/PubMed with records indexed in the ISI Web of Science (WoS) database. The matching allows exploiting the rich and controlled vocabulary of medical subject headings (MeSH) of Medline/PubMed with additional fields of WoS. The integration provides data (e.g., citation data, list of cited reference, list of the addresses of authors' host organizations, WoS subject categories) to perform a variety of scientometric analyses. This brief communication describes medlineR, the method on which it relies, and the steps the user should follow to perform the matching across the two databases. To demonstrate the differences from Leydesdorff and Opthof (Journal of the American Society for Information Science and Technology, 64(5), 1076-1080), we conclude this artcle by testing the routine on the MeSH category "Burgada syndrome."
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23385/abstract.
Objekt: Medline ; PubMed ; Web of Science
15Ho, Y.-S. ; Kahn, M.: ¬A bibliometric study of highly cited reviews in the Science Citation Index expanded(TM).
In: Journal of the Association for Information Science and Technology. 65(2014) no.2, S.372-385.
Abstract: Some 1,857 highly cited reviews, namely those cited at least 1,000 times since publication to 2011, were identified using the data hosted on the Science Citation Index ExpandedT database (Thomson Reuters, New York, NY) between 1899 and 2011. The data are disaggregated by publication date, citation counts, journals, Web of Science® (Thomson Reuters) subject areas, citation life cycles, and publications by Nobel Prize winners. Six indicators, total publications, independent publications, collaborative publications, first-author publications, corresponding-author publications, and single-author publications were applied to evaluate publication of institutions and countries. Among the highly cited reviews, 33% were single-author, 61% were single-institution, and 83% were single-country reviews. The United States ranked top for all 6 indicators. The G7 (United States, United Kingdom, Germany, Canada, France, Japan, and Italy) countries were the site of almost all the highly cited reviews. The top 12 most productive institutions were all located in the United States with Harvard University (Cambridge, MA) the leader. The top 3 most productive journals were Chemical Reviews, Nature, and the Annual Review of Biochemistry. In addition, the impact of the reviews was analyzed by total citations from publication to 2011, citations in 2011, and citation in publication year.
Objekt: SCI ; Web of Science
16Crespo, J.A. ; Herranz, N. ; Li, Y. ; Ruiz-Castillo, J.: ¬The effect on citation inequality of differences in citation practices at the web of science subject category level.
In: Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1244-1256.
Abstract: This article studies the impact of differences in citation practices at the subfield, or Web of Science subject category level, using the model introduced in Crespo, Li, and Ruiz-Castillo (2013a), according to which the number of citations received by an article depends on its underlying scientific influence and the field to which it belongs. We use the same Thomson Reuters data set of about 4.4 million articles used in Crespo et al. (2013a) to analyze 22 broad fields. The main results are the following: First, when the classification system goes from 22 fields to 219 subfields the effect on citation inequality of differences in citation practices increases from ?14% at the field level to 18% at the subfield level. Second, we estimate a set of exchange rates (ERs) over a wide [660, 978] citation quantile interval to express the citation counts of articles into the equivalent counts in the all-sciences case. In the fractional case, for example, we find that in 187 of 219 subfields the ERs are reliable in the sense that the coefficient of variation is smaller than or equal to 0.10. Third, in the fractional case the normalization of the raw data using the ERs (or subfield mean citations) as normalization factors reduces the importance of the differences in citation practices from 18% to 3.8% (3.4%) of overall citation inequality. Fourth, the results in the fractional case are essentially replicated when we adopt a multiplicative approach.
Objekt: Web of Science
17Mingers, J. ; Macri, F. ; Petrovici, D.: Using the h-index to measure the quality of journals in the field of business and management.
In: Information processing and management. 48(2012) no.2, S.234-241.
Abstract: This paper considers the use of the h-index as a measure of a journal's research quality and contribution. We study a sample of 455 journals in business and management all of which are included in the ISI Web of Science (WoS) and the Association of Business School's peer review journal ranking list. The h-index is compared with both the traditional impact factors, and with the peer review judgements. We also consider two sources of citation data - the WoS itself and Google Scholar. The conclusions are that the h-index is preferable to the impact factor for a variety of reasons, especially the selective coverage of the impact factor and the fact that it disadvantages journals that publish many papers. Google Scholar is also preferred to WoS as a data source. However, the paper notes that it is not sufficient to use any single metric to properly evaluate research achievements.
Inhalt: Vgl.: doi:10.1016/j.ipm.2011.03.009.
Objekt: h-index ; Web of Science ; Google Scholar
18Huang, M.-H. ; Lin, C.-S. ; Chen, D.-Z.: Counting methods, country rank changes, and counting inflation in the assessment of national research productivity and impact.
In: Journal of the American Society for Information Science and Technology. 62(2011) no.12, S.2427-2436.
Abstract: The counting of papers and citations is fundamental to the assessment of research productivity and impact. In an age of increasing scientific collaboration across national borders, the counting of papers produced by collaboration between multiple countries, and citations of such papers, raises concerns in country-level research evaluation. In this study, we compared the number counts and country ranks resulting from five different counting methods. We also observed inflation depending on the method used. Using the 1989 to 2008 physics papers indexed in ISI's Web of Science as our sample, we analyzed the counting results in terms of paper count (research productivity) as well as citation count and citation-paper ratio (CP ratio) based evaluation (research impact). The results show that at the country-level assessment, the selection of counting method had only minor influence on the number counts and country rankings in each assessment. However, the influences of counting methods varied between paper count, citation count, and CP ratio based evaluation. The findings also suggest that the popular counting method (whole counting) that gives each collaborating country one full credit may not be the best counting method. Straight counting that accredits only the first or the corresponding author or fractional counting that accredits each collaborator with partial and weighted credit might be the better choices.
Objekt: Web of Science
19Larivière, V. ; Macaluso, B.: Improving the coverage of social science and humanities researchers' output : the case of the Érudit journal platform.
In: Journal of the American Society for Information Science and Technology. 62(2011) no.12, S.2437-2442.
Abstract: In non-English-speaking countries the measurement of research output in the social sciences and humanities (SSH) using standard bibliographic databases suffers from a major drawback: the underrepresentation of articles published in local, non-English, journals. Using papers indexed (1) in a local database of periodicals (Érudit) and (2) in the Web of Science, assigned to the population of university professors in the province of Québec, this paper quantifies, for individual researchers and departments, the importance of papers published in local journals. It also analyzes differences across disciplines and between French-speaking and English-speaking universities. The results show that, while the addition of papers published in local journals to bibliometric measures has little effect when all disciplines are considered and for anglophone universities, it increases the output of researchers from francophone universities in the social sciences and humanities by almost a third. It also shows that there is very little relation, at the level of individual researchers or departments, between the output indexed in the Web of Science and the output retrieved from the Érudit database; a clear demonstration that the Web of Science cannot be used as a proxy for the "overall" production of SSH researchers in Québec. The paper concludes with a discussion on these disciplinary and language differences, as well as on their implications for rankings of universities.
Wissenschaftsfach: Sozialwissenschaften ; Geisteswissenschaften
Objekt: Web of Science ; Érudit
20Calculating the h-index : Web of Science, Scopus or Google Scholar?.
Abstract: Gegenüberstellung der Berechnung des h-Index in den drei Tools mit Beispiel Stephen Hawking (WoS: 59, Scopus: 19, Google Scholar: 76)
Objekt: h-index ; Web of Science ; Scopus ; Google Scholar