Web of Science Core Collection Quick Reference Guide
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Citation Analysis for the Modern Instructor: an Integrated Review of Emerging Research
CITATION ANALYSIS FOR THE MODERN INSTRUCTOR: AN INTEGRATED REVIEW OF EMERGING RESEARCH Chris Piotrowski University of West Florida USA Abstract While online instructors may be versed in conducting e-Research (Hung, 2012; Thelwall, 2009), today’s faculty are probably less familiarized with the rapidly advancing fields of bibliometrics and informetrics. One key feature of research in these areas is Citation Analysis, a rather intricate operational feature available in modern indexes such as Web of Science, Scopus, Google Scholar, and PsycINFO. This paper reviews the recent extant research on bibliometrics within the context of citation analysis. Particular focus is on empirical studies, review essays, and critical commentaries on citation-based metrics across interdisciplinary academic areas. Research that relates to the interface between citation analysis and applications in higher education is discussed. Some of the attributes and limitations of citation operations of contemporary databases that offer citation searching or cited reference data are presented. This review concludes that: a) citation-based results can vary largely and contingent on academic discipline or specialty area, b) databases, that offer citation options, rely on idiosyncratic methods, coverage, and transparency of functions, c) despite initial concerns, research from open access journals is being cited in traditional periodicals, and d) the field of bibliometrics is rather perplex with regard to functionality and research is advancing at an exponential pace. Based on these findings, online instructors would be well served to stay abreast of developments in the field. Keywords: Bibliometrics, informetrics, citation analysis, information technology, Open resource and electronic journals INTRODUCTION In an ever increasing manner, the educational field is irreparably linked to advances in information technology (Plomp, 2013). -
Is Sci-Hub Increasing Visibility of Indian Research Papers? an Analytical Evaluation Vivek Kumar Singh1,*, Satya Swarup Srichandan1, Sujit Bhattacharya2
Journal of Scientometric Res. 2021; 10(1):130-134 http://www.jscires.org Perspective Paper Is Sci-Hub Increasing Visibility of Indian Research Papers? An Analytical Evaluation Vivek Kumar Singh1,*, Satya Swarup Srichandan1, Sujit Bhattacharya2 1Department of Computer Science, Banaras Hindu University, Varanasi, Uttar Pradesh, INDIA. 2CSIR-National Institute of Science Technology and Development Studies, New Delhi, INDIA. ABSTRACT Sci-Hub, founded by Alexandra Elbakyan in 2011 in Kazakhstan has, over the years, Correspondence emerged as a very popular source for researchers to download scientific papers. It is Vivek Kumar Singh believed that Sci-Hub contains more than 76 million academic articles. However, recently Department of Computer Science, three foreign academic publishers (Elsevier, Wiley and American Chemical Society) have Banaras Hindu University, filed a lawsuit against Sci-Hub and LibGen before the Delhi High Court and prayed for Varanasi-221005, INDIA. complete blocking these websites in India. It is in this context, that this paper attempts to Email id: [email protected] find out how many Indian research papers are available in Sci-Hub and who downloads them. The citation advantage of Indian research papers available on Sci-Hub is analysed, Received: 16-03-2021 with results confirming that such an advantage do exist. Revised: 29-03-2021 Accepted: 25-04-2021 Keywords: Indian Research, Indian Science, Black Open Access, Open Access, Sci-Hub. DOI: 10.5530/jscires.10.1.16 INTRODUCTION access publishing of their research output, and at the same time encouraging their researchers to publish in openly Responsible Research and Innovation (RRI) has become one accessible forms. -
A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
applied sciences Article A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools Tatiana Person 1,* , Iván Ruiz-Rube 1 , José Miguel Mota 1 , Manuel Jesús Cobo 1 , Alexey Tselykh 2 and Juan Manuel Dodero 1 1 Department of Informatics Engineering, University of Cadiz, 11519 Puerto Real, Spain; [email protected] (I.R.-R.); [email protected] (J.M.M.); [email protected] (M.J.C.); [email protected] (J.M.D.) 2 Department of Information and Analytical Security Systems, Institute of Computer Technologies and Information Security, Southern Federal University, 347922 Taganrog, Russia; [email protected] * Correspondence: [email protected] Abstract: Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review Citation: Person, T.; Ruiz-Rube, I.; Mota, J.M.; Cobo, M.J.; Tselykh, A.; tool focused on Computer Science, to implement evidence-based systematic review processes in Dodero, J.M. -
Sci-Hub Provides Access to Nearly All Scholarly Literature
Sci-Hub provides access to nearly all scholarly literature A DOI-citable version of this manuscript is available at https://doi.org/10.7287/peerj.preprints.3100. This manuscript was automatically generated from greenelab/scihub-manuscript@51678a7 on October 12, 2017. Submit feedback on the manuscript at git.io/v7feh or on the analyses at git.io/v7fvJ. Authors • Daniel S. Himmelstein 0000-0002-3012-7446 · dhimmel · dhimmel Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania · Funded by GBMF4552 • Ariel Rodriguez Romero 0000-0003-2290-4927 · arielsvn · arielswn Bidwise, Inc • Stephen Reid McLaughlin 0000-0002-9888-3168 · stevemclaugh · SteveMcLaugh School of Information, University of Texas at Austin • Bastian Greshake Tzovaras 0000-0002-9925-9623 · gedankenstuecke · gedankenstuecke Department of Applied Bioinformatics, Institute of Cell Biology and Neuroscience, Goethe University Frankfurt • Casey S. Greene 0000-0001-8713-9213 · cgreene · GreeneScientist Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania · Funded by GBMF4552 PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.3100v2 | CC BY 4.0 Open Access | rec: 12 Oct 2017, publ: 12 Oct 2017 Abstract The website Sci-Hub provides access to scholarly literature via full text PDF downloads. The site enables users to access articles that would otherwise be paywalled. Since its creation in 2011, Sci- Hub has grown rapidly in popularity. However, until now, the extent of Sci-Hub’s coverage was unclear. As of March 2017, we find that Sci-Hub’s database contains 68.9% of all 81.6 million scholarly articles, which rises to 85.2% for those published in toll access journals. -
How Can Citation Impact in Bibliometrics Be Normalized?
RESEARCH ARTICLE How can citation impact in bibliometrics be normalized? A new approach combining citing-side normalization and citation percentiles an open access journal Lutz Bornmann Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany Downloaded from http://direct.mit.edu/qss/article-pdf/1/4/1553/1871000/qss_a_00089.pdf by guest on 01 October 2021 Keywords: bibliometrics, citation analysis, citation percentiles, citing-side normalization Citation: Bornmann, L. (2020). How can citation impact in bibliometrics be normalized? A new approach ABSTRACT combining citing-side normalization and citation percentiles. Quantitative Since the 1980s, many different methods have been proposed to field-normalize citations. In this Science Studies, 1(4), 1553–1569. https://doi.org/10.1162/qss_a_00089 study, an approach is introduced that combines two previously introduced methods: citing-side DOI: normalization and citation percentiles. The advantage of combining two methods is that their https://doi.org/10.1162/qss_a_00089 advantages can be integrated in one solution. Based on citing-side normalization, each citation Received: 8 May 2020 is field weighted and, therefore, contextualized in its field. The most important advantage of Accepted: 30 July 2020 citing-side normalization is that it is not necessary to work with a specific field categorization scheme for the normalization procedure. The disadvantages of citing-side normalization—the Corresponding Author: Lutz Bornmann calculation is complex and the numbers are elusive—can be compensated for by calculating [email protected] percentiles based on weighted citations that result from citing-side normalization. On the one Handling Editor: hand, percentiles are easy to understand: They are the percentage of papers published in the Ludo Waltman same year with a lower citation impact. -
Searching the Evidence in Web of Science
CAMBRIDGE UNIVERSITY LIBRARY MEDICAL LIBRARY Supporting Literature Searching Searching the Evidence in Web of Science September 2015 0 Supporting Literature Searching Searching the Evidence in Web of Science How to access Web of Science - and what is it? 2 Planning your Search 4 Searching Web of Science 6 Displaying your results 9 Refine Results 10 Citing Articles and Cited References 13 Accessing the full-text 14 Marked List - Email /Print/Export Your Results 15 Save your Strategy 17 More options 18 Help 19 To help you use this guide, indicates a step in the process of searching and retrieving articles. ! indicates a tip, or an extra piece of information. September 2015 1 How to access Web of Science - and what is it? http://wok.mimas.ac.uk Go to http://wok.mimas.ac.uk Click on the central orange button Logging On ! If you are accessing Web of Science from a non-University computer, you will need to log in with your RAVEN password. When you are presented with an ATHENS login screen, click "Alternative/Institutional Login", and search or browse for University of Cambridge. If you have problems logging on, contact the Medical Library. 2 Web of Science is made up of several different sections, including: Web of Science Core Collection o Covering citation indexes in Science, Social Science, Arts & Humanities, Books, Conference Proceedings. SciELO o focusing on literature from Latin American sources Data Citation Index Zoological Report Medline This guide will concentrate on Web of Science Core Collection. What's the difference between a citation index and a database like ! Pubmed? The key element that differentiates citation databases from other searchable databases is the way references are linked across time. -
Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index Kodanda Rama PES College of Engineering, [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln September 2019 Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index Kodanda Rama PES College of Engineering, [email protected] C. P. Ramasesh [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Scholarly Communication Commons, and the Scholarly Publishing Commons Rama, Kodanda and Ramasesh, C. P., "Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index" (2019). Library Philosophy and Practice (e-journal). 2889. https://digitalcommons.unl.edu/libphilprac/2889 Research Performance of Top Universities in Karnataka: Based on Scopus Citation Index 1 2 Kodandarama and C.P. Ramasesh ABSTRACT: [Paper furnishes the results of the analysis of citations of research papers covered by Scopus database of Elsevier, USA. The coverage of the database is complete; citations depicted by Scopus upto June 2019 are considered. Study projects the research performance of six well established top universities in the state of Karnataka with regard the number of research papers covered by scholarly journals and number of scholars who have cited these research papers. Also projected is the average citations per research paper and h-Index of authors. Paper also projects the performance of top faculty members who are involved in contributing research papers. Collaboration with authors of foreign countries in doing research work and publishing papers are also comprehended in the study, including the trends in publishing research papers which depict the decreasing and increasing trends of research work.] INTRODUCTION: Now-a-days, there is emphasis on improving the quality of research papers on the whole. -
Scientometrics1
Scientometrics1 Loet Leydesdorff a and Staša Milojević b a Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Kloveniersburgwal 48, 1012 CX Amsterdam, The Netherlands; [email protected] b School of Informatics and Computing, Indiana University, Bloomington 47405-1901, United States; [email protected]. Abstract The paper provides an overview of the field of scientometrics, that is: the study of science, technology, and innovation from a quantitative perspective. We cover major historical milestones in the development of this specialism from the 1960s to today and discuss its relationship with the sociology of scientific knowledge, the library and information sciences, and science policy issues such as indicator development. The disciplinary organization of scientometrics is analyzed both conceptually and empirically. A state-of-the-art review of five major research threads is provided. Keywords: scientometrics, bibliometrics, citation, indicator, impact, library, science policy, research management, sociology of science, science studies, mapping, visualization Cross References: Communication: Electronic Networks and Publications; History of Science; Libraries; Networks, Social; Merton, Robert K.; Peer Review and Quality Control; Science and Technology, Social Study of: Computers and Information Technology; Science and Technology Studies: Experts and Expertise; Social network algorithms and software; Statistical Models for Social Networks, Overview; 1 Forthcoming in: Micheal Lynch (Editor), International -
PUBLICATIONS and PUBLICATION POLICY (FLW, September 2016)
PUBLICATIONS AND PUBLICATION POLICY (FLW, September 2016) General ............................................................................................................................. 2 Why publish? ........................................................................................................... 2 A publication strategy .............................................................................................. 2 Publish where? ........................................................................................................ 2 Aggregation level ..................................................................................................... 3 Social impact ........................................................................................................... 3 Publication types ............................................................................................................... 3 UGent publication typology ...................................................................................... 3 Web-of-science ........................................................................................................ 4 Vabb publication typology ........................................................................................ 4 FWO publication typology ........................................................................................ 5 Relevant publication channels .......................................................................................... 6 How to choose? ...................................................................................................... -
Sci-Hub Downloads Lead to More Article Citations
THE SCI-HUB EFFECT:SCI-HUB DOWNLOADS LEAD TO MORE ARTICLE CITATIONS Juan C. Correa⇤ Henry Laverde-Rojas Faculty of Business Administration Faculty of Economics University of Economics, Prague, Czechia Universidad Santo Tomás, Bogotá, Colombia [email protected] [email protected] Fernando Marmolejo-Ramos Julian Tejada Centre for Change and Complexity in Learning Departamento de Psicologia University of South Australia Universidade Federal de Sergipe [email protected] [email protected] Štepánˇ Bahník Faculty of Business Administration University of Economics, Prague, Czechia [email protected] ABSTRACT Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-hub as well as various characteristics of publications and their authors predicts future citations. Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, we found that articles downloaded from Sci-hub were cited 1.72 times more than papers not downloaded from Sci-hub and that the number of downloads from Sci-hub was a robust predictor of future citations. Among other characteristics of publications, the number of figures in a manuscript consistently predicts its future citations. The results suggest that limited access to publications may limit some scientific research from achieving its full impact. Keywords Sci-hub Citations Scientific Impact Scholar Consumption Knowledge dissemination · · · · Introduction Science and its outputs are essential in daily life, as they help to understand our world and provide a basis for better decisions. Although scientific findings are often cited in social media and shared outside the scientific community [1], their primary use is what we could call “scholar consumption.” This phenomenon includes using websites that provide subscription-based access to massive databases of scientific research [2]. -
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. -
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.