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A Citation Analysis of the Quantitative/Qualitative Methods Debate's Reflection in Sociology Research: Implications for Library Collection Development
Georgia State University ScholarWorks @ Georgia State University University Library Faculty Publications Georgia State University Library January 2004 A Citation Analysis of the Quantitative/Qualitative Methods Debate's Reflection in Sociology Research: Implications for Library Collection Development Amanda J. Swygart-Hobaugh M.L.S., Ph.D. Georgia State University, [email protected] Follow this and additional works at: https://scholarworks.gsu.edu/univ_lib_facpub Part of the Library and Information Science Commons, and the Sociology Commons Recommended Citation Swygart-Hobaugh, A. J. (2004). A citation analysis of the quantitative/qualitative methods debate's reflection in sociology esearr ch: Implications for library collection development. Library Collections, Acquisitions, and Technical Services, 28, 180-95. This Article is brought to you for free and open access by the Georgia State University Library at ScholarWorks @ Georgia State University. It has been accepted for inclusion in University Library Faculty Publications by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. A Citation Analysis of the Quantitative/Qualitative Methods Debate’s Reflection in Sociology Research: Implications for Library Collection Development Amanda J. Swygart-Hobaugh Consulting Librarian for the Social Sciences Russell D. Cole Library Cornell College 600 First Street West Mt. Vernon, IA 52314-1098 [email protected] NOTICE: This is the author’s version of a work that was accepted for publication in Library Collections, Acquisitions, and Technical Services. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. -
In-Text Citation's Frequencies-Based Recommendations of Relevant
In-text citation's frequencies-based recommendations of relevant research papers Abdul Shahid1, Muhammad Tanvir Afzal2, Abdullah Alharbi3, Hanan Aljuaid4 and Shaha Al-Otaibi5 1 Institute of Computing, Kohat University of Science & Technology, Kohat, Pakistan 2 Department of Computer Science, NAMAL Institute, Mianwali, Pakistan 3 Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia 4 Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University (PNU), Riyadh, Saudi Arabia 5 Information Systems Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia ABSTRACT From the past half of a century, identification of the relevant documents is deemed an active area of research due to the rapid increase of data on the web. The traditional models to retrieve relevant documents are based on bibliographic information such as Bibliographic coupling, Co-citations, and Direct citations. However, in the recent past, the scientific community has started to employ textual features to improve existing models' accuracy. In our previous study, we found that analysis of citations at a deep level (i.e., content level) can play a paramount role in finding more relevant documents than surface level (i.e., just bibliography details). We found that cited and citing papers have a high degree of relevancy when in-text citations frequency of the cited paper is more than five times in the citing paper's text. This paper is an extension of our previous study in terms of its evaluation of a comprehensive dataset. Moreover, the study results are also compared with other state-of-the-art approaches i.e., content, metadata, and bibliography. -
How Frequently Are Articles in Predatory Open Access Journals Cited
publications Article How Frequently Are Articles in Predatory Open Access Journals Cited Bo-Christer Björk 1,*, Sari Kanto-Karvonen 2 and J. Tuomas Harviainen 2 1 Hanken School of Economics, P.O. Box 479, FI-00101 Helsinki, Finland 2 Department of Information Studies and Interactive Media, Tampere University, FI-33014 Tampere, Finland; Sari.Kanto@ilmarinen.fi (S.K.-K.); tuomas.harviainen@tuni.fi (J.T.H.) * Correspondence: bo-christer.bjork@hanken.fi Received: 19 February 2020; Accepted: 24 March 2020; Published: 26 March 2020 Abstract: Predatory journals are Open Access journals of highly questionable scientific quality. Such journals pretend to use peer review for quality assurance, and spam academics with requests for submissions, in order to collect author payments. In recent years predatory journals have received a lot of negative media. While much has been said about the harm that such journals cause to academic publishing in general, an overlooked aspect is how much articles in such journals are actually read and in particular cited, that is if they have any significant impact on the research in their fields. Other studies have already demonstrated that only some of the articles in predatory journals contain faulty and directly harmful results, while a lot of the articles present mediocre and poorly reported studies. We studied citation statistics over a five-year period in Google Scholar for 250 random articles published in such journals in 2014 and found an average of 2.6 citations per article, and that 56% of the articles had no citations at all. For comparison, a random sample of articles published in the approximately 25,000 peer reviewed journals included in the Scopus index had an average of 18, 1 citations in the same period with only 9% receiving no citations. -
JOURNAL LIST Total Journals: 3751
Journal Format For Print Page: ISI 页码,1/62 SCIENCE CITATION INDEX - JOURNAL LIST Total journals: 3751 1. AAPG BULLETIN Monthly ISSN: 0149-1423 AMER ASSOC PETROLEUM GEOLOGIST, 1444 S BOULDER AVE, PO BOX 979, TULSA, USA, OK, 74119-3604 1. Science Citation Index 2. Science Citation Index Expanded 3. Current Contents - Physical, Chemical & Earth Sciences 2. ABDOMINAL IMAGING Bimonthly ISSN: 0942-8925 SPRINGER, 233 SPRING ST, NEW YORK, USA, NY, 10013 1. Science Citation Index 2. Science Citation Index Expanded 3. Current Contents - Clinical Medicine 4. BIOSIS Previews 3. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY Semiannual ISSN: 0065- 7727 AMER CHEMICAL SOC, 1155 16TH ST, NW, WASHINGTON, USA, DC, 20036 1. Science Citation Index 2. Science Citation Index Expanded 3. BIOSIS Previews 4. BIOSIS Reviews Reports And Meetings 4. ACADEMIC EMERGENCY MEDICINE Monthly ISSN: 1069-6563 WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774 1. Science Citation Index 2. Science Citation Index Expanded 3. Current Contents - Clinical Medicine 5. ACADEMIC MEDICINE Monthly ISSN: 1040-2446 LIPPINCOTT WILLIAMS & WILKINS, 530 WALNUT ST, PHILADELPHIA, USA, PA, 19106- 3621 1. Science Citation Index 2. Science Citation Index Expanded 3. Current Contents - Clinical Medicine 6. ACCOUNTS OF CHEMICAL RESEARCH Monthly ISSN: 0001-4842 AMER CHEMICAL SOC, 1155 16TH ST, NW, WASHINGTON, USA, DC, 20036 1. Science Citation Index 2. Science Citation Index Expanded 3. Current Contents - Life Sciences 4. Current Contents - Physical, Chemical & Earth Sciences 7. ACI MATERIALS JOURNAL Bimonthly ISSN: 0889-325X AMER CONCRETE INST, 38800 COUNTRY CLUB DR, FARMINGTON HILLS, USA, MI, 48331 1. Science Citation Index 2. -
Google Scholar, Web of Science, and Scopus
Journal of Informetrics, vol. 12, no. 4, pp. 1160-1177, 2018. https://doi.org/10.1016/J.JOI.2018.09.002 Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories Alberto Martín-Martín1 , Enrique Orduna-Malea2 , Mike 3 1 Thelwall , Emilio Delgado López-Cózar Version 1.6 March 12, 2019 Abstract Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no recent or systematic evidence about the differences between them. In response, this paper investigates 2,448,055 citations to 2,299 English-language highly-cited documents from 252 GS subject categories published in 2006, comparing GS, the WoS Core Collection, and Scopus. GS consistently found the largest percentage of citations across all areas (93%-96%), far ahead of Scopus (35%-77%) and WoS (27%-73%). GS found nearly all the WoS (95%) and Scopus (92%) citations. Most citations found only by GS were from non-journal sources (48%-65%), including theses, books, conference papers, and unpublished materials. Many were non-English (19%- 38%), and they tended to be much less cited than citing sources that were also in Scopus or WoS. Despite the many unique GS citing sources, Spearman correlations between citation counts in GS and WoS or Scopus are high (0.78-0.99). They are lower in the Humanities, and lower between GS and WoS than between GS and Scopus. The results suggest that in all areas GS citation data is essentially a superset of WoS and Scopus, with substantial extra coverage. -
Comparing Statistics from the Bibliometric Production Platforms Of
Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus Éric Archambault Science-Metrix, 1335A avenue du Mont-Royal E., Montréal, Québec, H2J 1Y6, Canada and Observatoire des sciences et des technologies (OST), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal, Montréal (Québec), Canada. E-mail: [email protected] David Campbell Science-Metrix, 1335A avenue du Mont-Royal E., Montréal, Québec, H2J 1Y6, Canada. E-mail: [email protected] Yves Gingras, Vincent Larivière Observatoire des sciences et des technologies (OST), Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Université du Québec à Montréal, Case Postale 8888, succ. Centre-Ville, Montréal (Québec), H3C 3P8, Canada. E-mail: [email protected]; lariviere.vincent @uqam.ca Abstract For more than 40 years, the Institute for Scientific Information (ISI, now part of Thomson Reuters) produced the only available bibliographic databases from which bibliometricians could compile large- scale bibliometric indicators. ISI’s citation indexes, now regrouped under the Web of Science (WoS), were the major sources of bibliometric data until 2004, when Scopus was launched by the publisher Reed Elsevier. For those who perform bibliometric analyses and comparisons of countries or institutions, the existence of these two major databases raises the important question of the comparability and stability of statistics obtained from different data sources. This paper uses macro- level bibliometric indicators to compare results obtained from the WoS and Scopus. It shows that the correlations between the measures obtained with both databases for the number of papers and the number of citations received by countries, as well as for their ranks, are extremely high (R2 ≈ .99). -
The Journal Impact Factor Denominator Defining Citable (Counted) Items
COMMENTARIES The Journal Impact Factor Denominator Defining Citable (Counted) Items Marie E. McVeigh, MS The items counted in the denominator of the impact fac- tor are identifiable in the Web of Science database by hav- Stephen J. Mann ing the index field document type set as “Article,” “Re- view,” or “Proceedings Paper” (a specialized subset of the VER ITS 30-YEAR HISTORY, THE JOURNAL IMPACT article document type). These document types identify the factor has been the subject of much discussion scholarly contribution of the journal to the literature and and debate.1 From its first release in 1975, bib- are counted as “citable items” in the denominator of the im- liometricians and library scientists discussed its pact factor. A journal accepted for coverage in the Thom- Ovalue and its vagaries. In the last decade, discussion has 6 son Reuters citation database is reviewed by experts who shifted to the way in which impact factor data are used. In consider the bibliographic and bibliometric characteristics an environment eager for objective measures of productiv- of all article types published by that journal (eg, items), which ity, relevance, and research value, the impact factor has been are covered by that journal in the context of other materi- applied broadly and indiscriminately.2,3 The impact factor als in the journal, the subject, and the database as a whole. has gone from being a measure of a journal’s citation influ- This journal-specific analysis identifies the journal sec- ence in the broader literature to a surrogate that assesses tions, subsections, or both that contain materials likely to the scholarly value of work published in that journal. -
Networks of Reader and Country Status: an Analysis of Mendeley Reader Statistics
Networks of reader and country status: an analysis of Mendeley reader statistics Robin Haunschild1, Lutz Bornmann2 and Loet LeydesdorV3 1 Information Retrieval Service, Max Planck Institute for Solid State Research, Stuttgart, Germany 2 Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Munich, Germany 3 Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands ABSTRACT The number of papers published in journals indexed by the Web of Science core collection is steadily increasing. In recent years, nearly two million new papers were published each year; somewhat more than one million papers when primary research papers are considered only (articles and reviews are the document types where primary research is usually reported or reviewed). However, who reads these papers? More precisely, which groups of researchers from which (self-assigned) scientific disciplines and countries are reading these papers? Is it possible to visualize readership patterns for certain countries, scientific disciplines, or academic status groups? One popular method to answer these questions is a network analysis. In this study, we analyze Mendeley readership data of a set of 1,133,224 articles and 64,960 reviews with publication year 2012 to generate three diVerent networks: (1) The net- work based on disciplinary aYliations of Mendeley readers contains four groups: (i) biology, (ii) social sciences and humanities (including relevant computer sciences), (iii) bio-medical sciences, and (iv) natural sciences and engineering. In all four groups, the category with the addition “miscellaneous” prevails. (2) The network of co-readers in terms of professional status shows that a common interest in papers is mainly shared among PhD students, Master’s students, and postdocs. -
SCIENCE CITATION INDEX EXPANDED - JOURNAL LIST Total Journals: 8631
SCIENCE CITATION INDEX EXPANDED - JOURNAL LIST Total journals: 8631 1. 4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH 2. AAPG BULLETIN 3. AAPS JOURNAL 4. AAPS PHARMSCITECH 5. AATCC REVIEW 6. ABDOMINAL IMAGING 7. ABHANDLUNGEN AUS DEM MATHEMATISCHEN SEMINAR DER UNIVERSITAT HAMBURG 8. ABSTRACT AND APPLIED ANALYSIS 9. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 10. ACADEMIC EMERGENCY MEDICINE 11. ACADEMIC MEDICINE 12. ACADEMIC PEDIATRICS 13. ACADEMIC RADIOLOGY 14. ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE 15. ACCOUNTS OF CHEMICAL RESEARCH 16. ACCREDITATION AND QUALITY ASSURANCE 17. ACI MATERIALS JOURNAL 18. ACI STRUCTURAL JOURNAL 19. ACM COMPUTING SURVEYS 20. ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS 21. ACM SIGCOMM COMPUTER COMMUNICATION REVIEW 22. ACM SIGPLAN NOTICES 23. ACM TRANSACTIONS ON ALGORITHMS 24. ACM TRANSACTIONS ON APPLIED PERCEPTION 25. ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION 26. ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS 27. ACM TRANSACTIONS ON COMPUTATIONAL LOGIC 28. ACM TRANSACTIONS ON COMPUTER SYSTEMS 29. ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION 30. ACM TRANSACTIONS ON DATABASE SYSTEMS 31. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS 32. ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS 33. ACM TRANSACTIONS ON GRAPHICS 34. ACM TRANSACTIONS ON INFORMATION AND SYSTEM SECURITY 35. ACM TRANSACTIONS ON INFORMATION SYSTEMS 36. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 37. ACM TRANSACTIONS ON INTERNET TECHNOLOGY 38. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 39. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE 40. ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION 41. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 42. ACM TRANSACTIONS ON PROGRAMMING LANGUAGES AND SYSTEMS 43. ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS 44. -
A Citation Analysis of the Quantitative/Qualitative Methods Debate's Reflection in Sociology Research: Implications for Library Collection Development Amanda J
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Georgia State University Georgia State University ScholarWorks @ Georgia State University University Library Faculty Publications Georgia State University Library January 2004 A Citation Analysis of the Quantitative/Qualitative Methods Debate's Reflection in Sociology Research: Implications for Library Collection Development Amanda J. Swygart-Hobaugh M.L.S., Ph.D. Georgia State University, [email protected] Follow this and additional works at: https://scholarworks.gsu.edu/univ_lib_facpub Part of the Library and Information Science Commons, and the Sociology Commons Recommended Citation Swygart-Hobaugh, A. J. (2004). A citation analysis of the quantitative/qualitative methods debate's reflection in sociology research: Implications for library collection development. Library Collections, Acquisitions, and Technical Services, 28, 180-95. This Article is brought to you for free and open access by the Georgia State University Library at ScholarWorks @ Georgia State University. It has been accepted for inclusion in University Library Faculty Publications by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. A Citation Analysis of the Quantitative/Qualitative Methods Debate’s Reflection in Sociology Research: Implications for Library Collection Development Amanda J. Swygart-Hobaugh Consulting Librarian for the Social Sciences Russell D. Cole Library Cornell College 600 First Street West Mt. Vernon, IA 52314-1098 [email protected] NOTICE: This is the author’s version of a work that was accepted for publication in Library Collections, Acquisitions, and Technical Services. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. -
Citation Analysis: Web of Science, Scopus
Citation analysis: Web of science, scopus Golestan University of Medical Sciences Information Management and Research Network Citation Analysis • Citation analysis is the study of the impact and assumed quality of an article, an author, or an institution based on the number of times works and/or authors have been cited by others • Citation analysis is the examination of the frequency, patterns, and graphs of citations in documents. It uses the pattern of citations, links from one document to another document, to reveal properties of the documents. A typical aim would be to identify the most important documents in a collection. A classic example is that of the citations between academic articles and books.[1][2] The judgements produced by judges of law to support their decisions refer back to judgements made in earlier cases so citation analysis in a legal context is important. Another example is provided by patents which contain prior art, citation earlier patents relevant to the current claim. Citation Databases • Citation databases are databases that have been developed for evaluating publications. The citation databases enable you to count citations and check, for example, which articles or journals are the most cited ones • In a citation database you get information about who has cited an article and how many times an author has been cited. You can also list all articles citing the same source. • Most important citation database are • “Web of Science”, • “Scopus” • “Google Scholar” Web of Sciences • Web of Science is owned and produced by Thomson Reuters. WoS is composed of three databases containing citations from international scientific journals: • Arts & Humanities Citation Index - AHCI • Social Sciences Citation Index - SSCI • Science Citation Index - SCI • Journal Coverage: • Aims to include the best journals of all fields. -
Best Practice & Research: Clinical Endocrinology
BEST PRACTICE & RESEARCH: CLINICAL ENDOCRINOLOGY & METABOLISM AUTHOR INFORMATION PACK TABLE OF CONTENTS XXX . • Description p.1 • Impact Factor p.1 • Abstracting and Indexing p.2 • Editorial Board p.2 • Guide for Authors p.3 ISSN: 1521-690X DESCRIPTION . Best Practice & Research Clinical Endocrinology & Metabolism is a topical serial publication integrating the results from the latest original research into practical, evidence-based review articles that seek to address the key clinical issues of diagnosis, treatment and patient management. Each issue follows a problem-orientated approach which focuses on the key questions to be addressed, clearly defining what is known and highlighting topics for future research. Management is described in practical terms so that it can be applied to the individual patient. The series is aimed at the physician either in practice or in training. In practical paperback format, each 200 page issue of Best Practice & Research Clinical Endocrinology & Metabolism provides a comprehensive review of clinical practice and thinking within one specific area of endocrinology and metabolism. Each issue, written by an international team of contributors and guest edited by a renowned expert, form part of a continuous update of current clinical practice. • Attractive format and two-colour text layout • Six issues published annually • Highlighting the latest 'best practice' and 'clinical evidence' • Topic-based, problem-orientated approach • Recommendations on diagnosis, treatment and patient management The objective of the series is to provide the physician with the most up-to-date source of information in the field. IMPACT FACTOR . 2020: 4.690 © Clarivate Analytics Journal Citation Reports 2021 AUTHOR INFORMATION PACK 23 Sep 2021 www.elsevier.com/locate/beem 1 ABSTRACTING AND INDEXING .