scholarly journals Open Access Articles Have a Greater Research Impact Than Articles Not Freely Available

2006 ◽  
Vol 1 (3) ◽  
pp. 57
Author(s):  
Suzanne Pamela Lewis
Keyword(s):  
Open Access ◽  
Political Science ◽  
Web Of Science ◽  
Research Impact ◽  
Sample Population ◽  
Article Title ◽  
Electronic Engineering ◽  
Percentage Difference ◽  
The Mean ◽  
Leading Journals

A review of: Antelman, Kristin. “Do Open-Access Articles Have a Greater Research Impact?” College & Research Libraries 65.5 (Sep. 2004): 372-82. Objective – To ascertain whether open access articles have a greater research impact than articles not freely available, as measured by citations in the ISI Web of Science database. Design – Analysis of mean citation rates of a sample population of journal articles across four disciplines. Setting – Journal literature across the disciplines of philosophy, political science, mathematics, and electrical and electronic engineering. Subjects – A sample of 2,017 articles across the four disciplines published between 2001 and 2002 (for political science, mathematics, and electrical and electronic engineering) and between 1999 and 2000 (for philosophy). Methods – A systematic presample of articles for each of the disciplines was taken to calculate the necessary sample sizes. Based on this calculation, articles were sourced from ten leading journals in each discipline. The leading journals in political science, mathematics, and electrical and electronic engineering were defined by ISI’s Journal Citation Reports for 2002. The ten leading philosophy journals were selected using a combination of other methods. Once the sample population had been identified, each article title and the number of citations to each article (in the ISI Web of Science database) were recorded. Then the article title was searched in Google and if any freely available full text version was found, the article was classified as open access. The mean citation rate for open access and non-open access articles in each discipline was identified, and the percentage difference between the means was calculated. Main results – The four disciplines represented a range of open access uptake: 17% of articles in philosophy were open access, 29% in political science, 37% in electrical and electronic engineering, and 69% in mathematics. There was a significant difference in the mean citation rates for open access articles and non-open access articles in all four disciplines. The percentage difference in means was 45% in philosophy, 51% in electrical and electronic engineering, 86% in political science, and 91% in mathematics. Mathematics had the highest rate of open access availability of articles, but political science had the greatest difference in mean citation rates, suggesting there are other, discipline-specific factors apart from rate of open access uptake affecting research impact. Conclusion – The finding that, across these four disciplines, open access articles have a greater research impact than non-open access articles, is only one aspect of the complex changes that are presently taking place in scholarly publishing and communication. However, it is useful information for librarians formulating strategies for building institutional repositories, or exploring open access publishing with patrons or publishers.

scholarly journals Do Open-Access Articles Have a Greater Research Impact?

2004 ◽  
Vol 65 (5) ◽  
pp. 372-382 ◽  
Author(s):  
Kristin Antelman
Keyword(s):  
Open Access ◽  
Political Science ◽  
Web Of Science ◽  
Research Impact ◽  
The Internet ◽  
Isi Web Of Science ◽  
Electronic Engineering ◽  
And Mathematics

Although many authors believe that their work has a greater research impact if it is freely available, studies to demonstrate that impact are few. This study looks at articles in four disciplines at varying stages of adoption of open access—philosophy, political science, electrical and electronic engineering and mathematics—to see whether they have a greater impact as measured by citations in the ISI Web of Science database when their authors make them freely available on the Internet. The finding is that, across all four disciplines, freely available articles do have a greater research impact. Shedding light on this category of open access reveals that scholars in diverse disciplines are adopting open-access practices and being rewarded for it.

Produção internacional sobre ciência orientada a dados: análise dos termos data science e e-science na scopus e na web of science

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Leilah Santiago Bufrem ◽  
Fábio Mascarenhas Silva ◽  
Natanael Vitor Sobral ◽  
Anna Elizabeth Galvão Coutinho Correia
Keyword(s):  
Big Data ◽  
Open Access ◽  
Grid Computing ◽  
Digital Library ◽  
Data Science ◽  
Web Of Science ◽  
Computer Systems ◽  
Distributed Computer Systems

Introdução: A atual configuração da dinâmica relativa à produção e àcomunicação científicas revela o protagonismo da Ciência Orientada a Dados,em concepção abrangente, representada principalmente por termos como “e-Science” e “Data Science”. Objetivos: Apresentar a produção científica mundial relativa à Ciência Orientada a Dados a partir dos termos “e-Science” e “Data Science” na Scopus e na Web of Science, entre 2006 e 2016. Metodologia: A pesquisa está estruturada em cinco etapas: a) busca de informações nas bases Scopus e Web of Science; b) obtenção dos registros; bibliométricos; c) complementação das palavras-chave; d) correção e cruzamento dos dados; e) representação analítica dos dados. Resultados: Os termos de maior destaque na produção científica analisada foram Distributed computer systems (2006), Grid computing (2007 a 2013) e Big data (2014 a 2016). Na área de Biblioteconomia e Ciência de Informação, a ênfase é dada aos temas: Digital library e Open access, evidenciando a centralidade do campo nas discussões sobre dispositivos para dar acesso à informação científica em meio digital. Conclusões: Sob um olhar diacrônico, constata-se uma visível mudança de foco das temáticas voltadas às operações de compartilhamento de dados para a perspectiva analítica de busca de padrões em grandes volumes de dados.Palavras-chave: Data Science. E-Science. Ciência orientada a dados. Produção científica.Link:http://www.uel.br/revistas/uel/index.php/informacao/article/view/26543/20114

scholarly journals Manual Therapy in Cervical and Lumbar Radiculopathy: A Systematic Review of the Literature

2021 ◽  
Vol 18 (11) ◽  
pp. 6176
Author(s):  
Tomasz Kuligowski ◽  
Anna Skrzek ◽  
Błażej Cieślik
Keyword(s):  
Manual Therapy ◽  
Functional Outcomes ◽  
Web Of Science ◽  
Current Knowledge ◽  
Controlled Trial ◽  
Future Research ◽  
Lumbar Radiculopathy ◽  
Inclusion Criteria ◽  
Randomized Controlled ◽  
The Mean

The aim of this study was to describe and update current knowledge of manual therapy accuracy in treating cervical and lumbar radiculopathy, to identify the limitations in current studies, and to suggest areas for future research. The study was conducted according to PRISMA guidelines for systematic reviews. A comprehensive literature review was conducted using PubMed and Web of Science databases up to April 2020. The following inclusion criteria were used: (1) presence of radiculopathy; (2) treatment defined as manual therapy (i.e., traction, manipulation, mobilization); and (3) publication defined as a Randomized Controlled Trial. The electronic literature search resulted in 473 potentially relevant articles. Finally, 27 articles were accepted: 21 on cervical (CR) and 6 in lumbar radiculopathy (LR). The mean PEDro score for CR was 6.6 (SD 1.3), and for LR 6.7 (SD 1.6). Traction-oriented techniques are the most frequently chosen treatment form for CR and are efficient in reducing pain and improving functional outcomes. In LR, each of the included publications used a different form of manual therapy, which makes it challenging to summarize knowledge in this group. Of included publications, 93% were either of moderate or low quality, which indicates that quality improvement is necessary for this type of research.

scholarly journals The Quality of Statistical Reporting and Data Presentation in Predatory Dental Journals Was Lower Than in Non-Predatory Journals

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 468
Author(s):  
Pentti Nieminen ◽  
Sergio E. Uribe
Keyword(s):  
Open Access ◽  
Peer Review ◽  
Scientific Journals ◽  
Mean Values ◽  
Data Presentation ◽  
Predatory Journals ◽  
Study Results ◽  
The Mean ◽  
Highly Cited

Proper peer review and quality of published articles are often regarded as signs of reliable scientific journals. The aim of this study was to compare whether the quality of statistical reporting and data presentation differs among articles published in ‘predatory dental journals’ and in other dental journals. We evaluated 50 articles published in ‘predatory open access (OA) journals’ and 100 clinical trials published in legitimate dental journals between 2019 and 2020. The quality of statistical reporting and data presentation of each paper was assessed on a scale from 0 (poor) to 10 (high). The mean (SD) quality score of the statistical reporting and data presentation was 2.5 (1.4) for the predatory OA journals, 4.8 (1.8) for the legitimate OA journals, and 5.6 (1.8) for the more visible dental journals. The mean values differed significantly (p < 0.001). The quality of statistical reporting of clinical studies published in predatory journals was found to be lower than in open access and highly cited journals. This difference in quality is a wake-up call to consume study results critically. Poor statistical reporting indicates wider general lower quality in publications where the authors and journals are less likely to be critiqued by peer review.

scholarly journals Latin American triple-A journals 1

2017 ◽  
Vol 33 (4) ◽  
pp. 436-441 ◽  
Author(s):  
Juan D. Machin-Mastromatteo ◽  
Javier Tarango ◽  
Eduardo Medina-Yllescas
Keyword(s):  
Open Access ◽  
Latin American ◽  
Web Of Science ◽  
Quality Requirements ◽  
Open Access Journals

The current presence of Latin American journals in Web of Science and Scopus is analyzed, as the first part of a quality roadmap intended to strengthen regional publications, especially those that have started as institutional publications. The next issue will study the quality requirements and journals’ presence in other recognized indexes and platforms such as Scimago Journal and Country Rank, the Directory of Open Access Journals, Latindex, SciELO, and RedALyC.

scholarly journals AUTHORSHIP PATTERNS AND COLLABORATIVE RESEARCH OF ONCOLOGY RESEARCH OUTPUT IN INDIA: A SCIENTOMETRICS STUDY

2016 ◽  
Vol 3 (2) ◽  
pp. 123-128
Author(s):  
Senthilkumar R ◽  
Muthukrishnan M
Keyword(s):  
Collaborative Research ◽  
Web Of Science ◽  
Research Output ◽  
Paper Analysis ◽  
Research Papers ◽  
Authorship Pattern ◽  
Oncology Research ◽  
Low Profile ◽  
Single Authorship ◽  
The Mean

The paper analysis authorship patterns and collaborative research of oncology research in Indiaas reflected by the research papers listed in Web of Science database for a period of 11 years from 2005-2015. The increased trend towards multiple authorship is predominant as compare to single authorship in case ofoncology in India.In the study, the degree of collaboration was not a constant value, it reveals varies of 0.03 to 0.16 percent and the mean quality as 0.09. The analysis found that single author papers maintained a low profile among oncology research scientists and the multi authorship pattern is expanding slowly in Indian oncology research.

scholarly journals Merits and Limits: Applying open data to monitor open access publications in bibliometric databases

2019 ◽  
Author(s):  
Aliakbar Akbaritabar ◽  
Stephan Stahlschmidt
Keyword(s):  
Open Access ◽  
Web Of Science ◽  
Open Data ◽  
Preliminary Results ◽  
Contradictory Information ◽  
Bibliometric Databases

Identifying and monitoring Open Access (OA) publications might seem a trivial task while practical efforts prove otherwise. Contradictory information arise often depending on metadata employed. We strive to assign OA status to publications in Web of Science (WOS) and Scopus while complementing it with different sourcesof OA information to resolve contradicting cases. We linked publications from WOS and Scopus via DOIs and ISSNs to Unpaywall, Crossref, DOAJ and ROAD. Only about 70% of articles and reviews from WOS and Scopus could be matched via a DOI to Unpaywall. Matching with Crossref brought 53 distinct licences, which define in many cases the legally binding access status of publications. But only 53% of publications hold only a single licence on Crossref, while more than 42% have no licence information submitted to Crossref. Contrasting OA information from Crossref licences with Unpaywall we found contradictory cases overall amounting to more than 13%, which might be partially explained by (ex-)including green OA. A further manual check found about 17% of OA publications that are not accessible and about 15% non-OA publications that are accessible through publishers’ websites. These preliminary results suggest that identification of OA state of publications denotes a difficult and currently unfulfilled task.

scholarly journals Riscos, complexidade e incertezas na cadeia de suprimentos

2021 ◽  
Vol 7 (2) ◽  
pp. 277-294
Author(s):  
Idoneu Mitrano Lima Junior ◽  
Alba Regina Pereira Rodrigues ◽  
José André Villas Boas Mello
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Open Access ◽  
Systematic Reviews ◽  
Web Of Science ◽  
Cochrane Collaboration ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Meta Analyses

Este artigo tem como objetivo conduzir uma revisão sistemática de literatura e meta-análise sobre o tema Supply Chain Risk Management (SCRM), no contexto dos países Brasil e China. Para tanto, os autores apoiaram-se na metodologia PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses), seguindo orientações da comunidade científica Cochrane Collaboration. A partir de pesquisa eletrônica nas bases Web of Science, Scopus e SciELO, os resultados open access sumarizados apontaram que há escassez de publicações sobre o tema SCRM no Brasil e na China, com apenas 6 e 8 resultados, respectivamente, no período de 2008 a 2020. Portanto, complementa as revisões sistemáticas publicadas anteriormente, auxiliando novos pesquisadores e traz como diferencial nova abordagem, evidenciando territórios sub representados nas bases analisadas.

scholarly journals Analyzing University of Virginia Health publications using open data, Python, and Streamlit

2021 ◽  
Vol 109 (4) ◽  
Author(s):  
Anson Parker ◽  
Abbey Heflin ◽  
Lucy Carr Jones
Keyword(s):  
Open Access ◽  
Data Visualization ◽  
Web Of Science ◽  
Open Data ◽  
Health Sciences ◽  
Open Access Publishing ◽  
University Of Virginia ◽  
Data Set ◽  
Novel Approach ◽  
Rest Api

As part of a larger project to understand the publishing choices of UVA Health authors and support open access publishing, a team from the Claude Moore Health Sciences Library analyzed an open data set from Europe PMC, which includes metadata from PubMed records. We used the Europe PMC REST API to search for articles published in 2017–2020 with “University of Virginia” in the author affiliation field. Subsequently, we parsed the JSON metadata in Python and used Streamlit to create a data visualization from our public GitHub repository. At present, this shows the relative proportions of open access versus subscription-only articles published by UVA Health authors. Although subscription services like Web of Science, Scopus, and Dimensions allow users to do similar analyses, we believe this is a novel approach to doing this type of bibliometric research with open data and open source tools.  

scholarly journals The Use of Twitter by Medical Journals: Systematic Review of the Literature (Preprint)

2020 ◽  
Author(s):  
Natalie Erskine ◽  
Sharief Hendricks
Keyword(s):  
Web Of Science ◽  
Research Impact ◽  
Original Research ◽  
Medical Journals ◽  
Journal Clubs ◽  
Academic Medical ◽  
Meta Analyses ◽  
The Relationship ◽  
Journal Impact ◽  
Alternative Metrics

BACKGROUND Medical journals use Twitter to engage and disseminate their research articles and implement a range of strategies to maximize reach and impact. OBJECTIVE This study aims to systematically review the literature to synthesize and describe the different Twitter strategies used by medical journals and their effectiveness on journal impact and readership metrics. METHODS A systematic search of the literature before February 2020 in four electronic databases (PubMed, Web of Science, Scopus, and ScienceDirect) was conducted. Articles were reviewed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines. RESULTS The search identified 44 original research studies that evaluated Twitter strategies implemented by medical journals and analyzed the relationship between Twitter metrics and alternative and citation-based metrics. The key findings suggest that promoting publications on Twitter improves citation-based and alternative metrics for academic medical journals. Moreover, implementing different Twitter strategies maximizes the amount of attention that publications and journals receive. The four key Twitter strategies implemented by many medical journals are tweeting the title and link of the article, infographics, podcasts, and hosting monthly internet-based journal clubs. Each strategy was successful in promoting the publications. However, different metrics were used to measure success. CONCLUSIONS Four key Twitter strategies are implemented by medical journals: tweeting the title and link of the article, infographics, podcasts, and hosting monthly internet-based journal clubs. In this review, each strategy was successful in promoting publications but used different metrics to measure success. Thus, it is difficult to conclude which strategy is most effective. In addition, the four strategies have different costs and effects on dissemination and readership. We recommend that journals and researchers incorporate a combination of Twitter strategies to maximize research impact and capture audiences with a variety of learning methods. CLINICALTRIAL

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