scholarly journals Scholarly Impact: a Bibliometric and Altmetric study of the Journal of Community Informatics

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Filistea Naude ◽  
Judy Van Biljon
Keyword(s):  
Bibliometric Analysis ◽  
Citation Impact ◽  
Google Scholar ◽  
Community Informatics ◽  
Scholarly Impact ◽  
Citation Metrics ◽  
Insight Into ◽  
Usage Metrics ◽  
Alternative Metrics

Demonstrating scholarly impact is a matter of growing importance. This paper reports on a bibliometric and altmetric analysis conducted on the Journal of Community Informatics (JOCI). Besides the bibliometric analysis the study also looked into JOCI article-level metrics by comparing usage metrics (article views), alternative metrics (Mendeley readership), and traditional citation metrics (Google Scholar citations). The main contribution is to provide more insight into the metrics that could influence the citation impact in Community Informatics research. Furthermore, the study used article-level metrics data to identify, compare and rank the most impactful papers published in JOCI over a 12-year period.

scholarly journals Astronomy in Chile: Assessment of scientific productivity through a bibliometric analysis

2018 ◽  
Vol 186 ◽  
pp. 05002
Author(s):  
Rodrigo Cortes ◽  
Denise Depoortere ◽  
Lucina Malaver
Keyword(s):  
Bibliometric Analysis ◽  
Citation Impact ◽  
Research Impact ◽  
Scientific Productivity ◽  
Space Research ◽  
Astronomical Observation ◽  
Atmospheric Conditions ◽  
The World ◽  
Conducting Research ◽  
Alternative Metrics

The skies of Northern Chile are considered among the best in the world for astronomy due to their geographical, climatic and atmospheric conditions. In fact, during the last several decades, a great number of astronomical observatories have been built by space research institutions devoted to space research, turning Chile into one of the countries with the greatest astronomical observation capacity in the world. Consequently, it is relevant to explore and assess the development of astronomy in Chile during the last ten years (2005-2015), carrying out a bibliometric analysis to extract traditional metrics, complemented with alternative metrics, to identify the Chilean production and scientific contribution of research in this field of knowledge. The results from traditional metrics, based on the information obtained in the Web of Science (WoS) database analyzed through InCites for the Astronomy & Astrophysics category indicate a sustained increase of the scientific production for the discipline during the last ten years. In particular, the Normalized Citation Impact of organizations and institutions conducting research in Chile is above the worldwide average. On the other hand, the alternative metrics, including for instance, the altmetrics types presented by the SCOPUS database, reflect that the Chilean research impact is much lower in the context of social networks.

scholarly journals The Benefits and Pitfalls of Google Scholar

2018 ◽  
Vol 51 (4) ◽  
pp. 820-824 ◽  
Author(s):  
Francesca R. Jensenius ◽  
Mala Htun ◽  
David J. Samuels ◽  
David A. Singer ◽  
Adria Lawrence ◽  
...  
Keyword(s):  
Political Process ◽  
Data Sources ◽  
Google Scholar ◽  
Qualitative Assessment ◽  
Research Communities ◽  
Scholarly Impact ◽  
Innovative Work ◽  
Citation Counts

ABSTRACTGoogle Scholar (GS) is an important tool that faculty, administrators, and external reviewers use to evaluate the scholarly impact of candidates for jobs, tenure, and promotion. This article highlights both the benefits of GS—including the reliability and consistency of its citation counts and its platform for disseminating scholarship and facilitating networking—and its pitfalls. GS has biases because citation is a social and political process that disadvantages certain groups, including women, younger scholars, scholars in smaller research communities, and scholars opting for risky and innovative work. GS counts also reflect practices of strategic citation that exacerbate existing hierarchies and inequalities. As a result, it is imperative that political scientists incorporate other data sources, especially independent scholarly judgment, when making decisions that are crucial for careers. External reviewers have a unique obligation to offer a reasoned, rigorous, and qualitative assessment of a scholar’s contributions and therefore should not use GS.

scholarly journals Measuring the Impact of Digital Heritage Collections Using Google Scholar

2020 ◽  
Vol 39 (2) ◽  
Author(s):  
Ángel Borrego
Keyword(s):  
Social Sciences ◽  
Open Access ◽  
Google Scholar ◽  
Digital Heritage ◽  
Scholarly Impact ◽  
The Social ◽  
The Impact ◽  
Theses And Dissertations ◽  
Heritage Collections ◽  
Local Languages

This study aimed to measure the impact of digital heritage collections by analysing the citations received in scholarly outputs. Google Scholar was used to retrieve the scholarly outputs citing Memòria Digital de Catalunya (MDC), a cooperative, open-access repository containing digitized collections related to Catalonia and its heritage. The number of documents citing MDC has grown steadily since the creation of the repository in 2006. Most citing documents are scholarly outputs in the form of articles, proceedings and monographs, and academic theses and dissertations. Citing documents mainly pertain to the humanities and the social sciences and are in local languages. The most cited MDC collection contains digitized ancient Catalan periodicals. The study shows that Google Scholar is a suitable tool for providing evidence of the scholarly impact of digital heritage collections. Google Scholar indexes the full-text of documents, facilitating the retrieval of citations inserted in the text or in sections that are not the final list of references. It also indexes document types, such as theses and dissertations, which contain a significant share of the citations to digital heritage collections.

scholarly journals Publication analysis in Bay for Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation Nations

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 510
Author(s):  
Manthan Janodia ◽  
Aparna I. Narayan ◽  
Santhosh Krishnan Venkata ◽  
Bharti Chogtu
Keyword(s):  
World Bank ◽  
Research Output ◽  
Citation Impact ◽  
Developed Countries ◽  
Economic Cooperation ◽  
Scientific Output ◽  
Research Publication ◽  
Publication Number ◽  
Subject Areas ◽  
Insight Into

Background: Research output provides an insight into the development of the scientific capability of a country. Budget allocation for research and development (R&D) is directly proportional to the research output of a country. While developed countries spend a significant percentage of their GDP on R&D, developing countries do not have enough resources to invest in R&D. Countries in the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) Nations has received significantly less attention from outside the region in studying R&D and research publication scenario of the region. The research output of BIMSTEC countries was analyzed using various metrics in this paper. Methods: Data on citation per paper, Field Weight Citation Impact (FWCI), paper per researcher, collaborative publications, and output in top 10 percent journals was extracted from one of the largest abstract and citation database of peer-reviewed literature, Scopus and its affiliate SciVal, for a period of 6 years between 2012-2017. Percentage of R&D spend, researchers per million population, and total scientific output were extracted from World Bank data. Results: India and Thailand have a higher quantum of publications compared to other countries. Subjects like clinical, technology, Computer Science have a larger publication number as compared to other subject areas like Social Science, Arts, Education, Law, and Physiology. The researcher population and research spend of a nation have an evident implication on the publication though no direct relation can be derived. Conclusion: Huge disparities in terms of percentage of research spent, research output, papers per researcher, and output with national and international authorship differ for countries. Higher research spent and publication count are not positively correlated with better FWCI.

scholarly journals ANALISIS SITASI PADA JAMP: JURNAL ADMINISTRASI DAN MANAJEMEN PENDIDIKAN, UNIVERSITAS NEGERI MALANG, 2018-2020

2021 ◽  
Vol 4 (2) ◽  
pp. 163
Author(s):  
Imam Gunawan
Keyword(s):  
Bibliometric Analysis ◽  
Educational Administration ◽  
Leadership Education ◽  
Google Scholar ◽  
File Format ◽  
Microsoft Excel ◽  
Meta Data ◽  
Publish Or Perish ◽  
Education Management ◽  
Main Indicator

Abstract: The level or number of citations for a journal and/or article is the main indicator for measuring the quality of a publication (paper). The purpose of this research is to determine the distribution of citations in JAMP: Journal of Educational Administration and Management. This research is included in research or studies on bibliometric analysis. The data source for this study is meta-data obtained from the JAMP: Jurnal Administrasi dan Manajemen Pendidikan, data citation download at Google Scholar, using the Publish or Perish 7 software, over a period of 3 years (2018-2020). Meta-data with the PoPCites.ris file format, processed with Publish or Perish 7 software, produces a description of the journal citation. The data is extracted into Microsoft Excel file format. The results of the analysis show that this journal has a citation level of 388. This article presents the 10 articles with the most citations. In addition, it also discusses topic trends in this journal in the last 3 years, as well as predictions of future article trends. Keywords: citation analysis; education management; educational leadership; education supervision; publish or perish. Abstrak: Tingkat atau jumlah sitasi suatu jurnal dan/atau artikel merupakan indikator utama untuk mengukur kualitas suatu terbitan (paper). Tujuan riset ini adalah untuk mengetahui sebaran sitasi pada JAMP: Jurnal Administrasi dan Manajemen Pendidikan. Riset ini termasuk dalam riset atau studi tentang bibliometric analysis. Sumber data studi ini adalah meta-data yang diperoleh dari unduhan data sitasi JAMP: Jurnal Administrasi dan Manajemen Pendidikan di Google Scholar, dengan menggunakan software Publish or Perish 7, dalam kurun waktu 3 tahun (2018-2020). Meta-data dengan format file PoPCites.ris, diproses dengan dengan software Publish or Perish 7, menghasilkan sebuah hasil deskripsi tentang sitasi jurnal. Data tersebut diekstrak ke dalam format file Microsoft Excel. Hasil analisis diketahui bahwa jurnal ini memiliki tingkat sitasi sebanyak 388. Artikel ini menyajikan 10 artikel terbanyak sitasinya. Selain itu, juga dikupas tren topik di jurnal ini dalam kurun 3 tahun terakhir, serta prediksi tren artikel pada masa mendatang. Kata kunci: analisis sitasi; manajemen pendidikan; kepemimpinan pendidikan; supervisi pendidikan; publish or perish.

scholarly journals Examination of cyberloafing studies in education: A content analysis

2019 ◽  
Vol 11 (1) ◽  
pp. 94-103
Author(s):  
Tuğra Karademir ◽  
Sahin Gokcearslan
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Research Methods ◽  
Web Of Science ◽  
Mobile Technologies ◽  
Google Scholar ◽  
Variable Frequency ◽  
Insight Into ◽  
Critical Situations

Mobile technologies are useful. However, several mobile technologies also have disadvantages for students besides their advantages. Cyberloafing is one of these critical situations that the students could experience. Several studies on cyberloafing were conducted worldwide. The present study aimed to analyse these studies based on variable frequency, workgroups, data collection instruments, research methods and distribution of studies among countries. This study aimed to evaluate the results of the publications found in the Google Scholar, Web of Science, Science Direct, Scopus, ProQuest, Sage, Taylor and Francis databases with a search using ‘cyberloafing’ keyword and published between 2013 and March 2018. The present study would provide insight into existing studies and their shortcomings and it would also provide guidance for further research

scholarly journals A BIBLIOMETRIC ANALYSIS OF RHEUMATOLOGY AND COVID-19 RESEARCHES

2021 ◽  
Author(s):  
Ozge Pasin ◽  
Tugce Pasin
Keyword(s):  
Bibliometric Analysis ◽  
Correlation Coefficients ◽  
Substantial Impact ◽  
Future Studies ◽  
The Usa ◽  
Number Of Publications ◽  
Number Of Citations ◽  
Insight Into ◽  
Reference Counts ◽  
General Perspective

Objectives: COVID-19 has had a substantial impact on rheumatology. This study provides a general overview of studies on rheumatology and COVID-19. Methods: Data were taken from the Web of Science (WoS) website. Analysis and network visualization mapping processes were carried out using VOSviewer. A total of 234 publications were analyzed, and the correlations between citation numbers and reference counts, usage counts and page numbers were analyzed with Spearman correlation coefficients. Results: The average number of citations per item was 6.03. The studies were cited 1,411 times in total, and 1,121 times without self-citations. The countries with the highest number of publications on rheumatology and COVID-19 were the USA and England; the countries with the highest number of citations were Italy and the USA, and Jinoos Yazdany was the most cited author. The Annals of the Rheumatic Diseases was the most cited journal, whereas the highest number of articles on rheumatology and COVID-19 were published in Arthritis and Rheumatology. Conclusions: Bibliometric analysis of rheumatology and COVID-19 can be useful to future studies because it provides a general perspective on the studies. This study provides an insight into the development of publications on rheumatology during the COVID-19 pandemic.

scholarly journals Comparison of two article-level, field-independent citation metrics: Field-Weighted Citation Impact (FWCI) and Relative Citation Ratio (RCR)

2019 ◽  
Vol 13 (2) ◽  
pp. 635-642 ◽  
Author(s):  
Amrita Purkayastha ◽  
Eleonora Palmaro ◽  
Holly J. Falk-Krzesinski ◽  
Jeroen Baas
Keyword(s):  
Citation Impact ◽  
Relative Citation ◽  
Field Independent ◽  
Citation Metrics

scholarly journals A five-year (2015 to 2019) analysis of studies focused on breast cancer prediction using machine learning: A systematic review and bibliometric analysis

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Zakia Salod ◽  
Yashik Singh
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Systematic Review ◽  
Bibliometric Analysis ◽  
The United States ◽  
Blood Analysis ◽  
Google Scholar ◽  
Breast Cancer Dataset ◽  
Cancer Dataset ◽  
Data Source

The objective 1 of this study was to investigate trends in breast cancer (BC) prediction using machine learning (ML) publications by analysing country, first author, journal, institutional collaborations and co-occurrence of author keywords. The objective 2 was to provide a review of studies on BC prediction using ML and a blood analysis dataset (Breast Cancer Coimbra Dataset [BCCD]), the objective 3 was to provide a brief review of studies based on BC prediction using ML and patients’ fine needle aspirate cytology data (Wisconsin Breast Cancer Dataset [WBCD]). The design of this study was as follows: for objective 1: bibliometric analysis, data source PubMed (2015-2019); for objective 2: systematic review, data source: Google and Google Scholar (2018-2019); for objective 3: systematic review, data source: Google Scholar (2016-2019). The results showed that the United States of America (USA) produced the highest number of publications (n=803). In total, 2419 first authors contributed towards the publications. Breast Cancer Research and Treatment was the highest ranked journal. Institutional collaborations mainly occurred within the USA. The use of ML for BC screening and detection was the most researched topic. A total of 19 distinct papers were included for objectives 2 and 3. The findings from these studies were never presented to clinicians for validations. In conclusion, the use of ML for BC screening and detection is promising.

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