scholarly journals Scientometric Analysis of Research Output from Brazil in Response to the Zika Crisis Using e-Lattes

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ricardo Barros Sampaio ◽  
Antônio de Abreu Batista ◽  
Bruno Santos Ferreira ◽  
Mauricio L. Barreto ◽  
Jesús P. Mena-Chalco
Keyword(s):  
Research Output ◽  
Scientific Research ◽  
Scientific Output ◽  
Research Quality ◽  
Scientometric Analysis ◽  
Scientific Impact ◽  
The Public ◽  
Research Production ◽  
Brazilian Science ◽  
Practical Implications

AbstractPurposeThis paper aims to test the use of e-Lattes to map the Brazilian scientific output in a recent research health subject: Zika Virus.Design/methodology/approachFrom a set of Lattes CVs of Zika researchers registered on the Lattes Platform, we used the e-Lattes to map the Brazilian scientific response to the Zika crisis.FindingsBrazilian science articulated quickly during the public health emergency of international concern (PHEIC) due to the creation of mechanisms to streamline funding of scientific research.Research limitationsWe did not assess any dimension of research quality, including the scientific impact and societal value.Practical implicationse-Lattes can provide useful guidelines for different stakeholders in research groups from Lattes CVs of members.Originality/valueThe information included in Lattes CVs permits us to assess science from a broader perspective taking into account not only scientific research production but also the training of human resources and scientific collaboration.

scholarly journals A Scientometric Analysis of Neuroblastoma Research

2020 ◽  
Author(s):  
Illya Martynov ◽  
Jessica Klima-Frysch ◽  
Joachim Schoenberger
Keyword(s):  
Network Architecture ◽  
Research Output ◽  
Research Performance ◽  
R Package ◽  
Scientific Output ◽  
Scientometric Analysis ◽  
Valuable Insight ◽  
Mathematical Methods ◽  
Scholarly Data ◽  
Scientometric Study

Abstract Background: There are thousands of research articles in the field of neuroblastoma that have been published over the past few decades. However, the heterogeneity and variable quality of scholarly data may challenge scientists or clinicians to survey all published articles. However, holistic measuring and analyzing of neuroblastoma related literature by sophisticated mathematical methods can provide a unique opportunity to gain deep insights into the global research performance and collaborative architectonical structure within the neuroblastoma scientific community. In this scientometric study, we aim to determine the extent of the scientific output related to neuroblastoma research, focusing on the time period between 1980 and 2018. Methods: We apply novel scientometric tools, including Bibliometrix R package, biblioshiny, VOSviewer, and CiteSpace IV for comprehensive science mapping analysis of extensive bibliographic metadata which was retrieved from the Web of ScienceTM Core Collection database. Results: We demonstrate the enormous proliferation of neuroblastoma research during last the 38 years, including 12,435 documents published in 1,828 academic journals by 36,908 authors from 86 different countries. We determine the proportion of highly cited and never cited papers, “occasional” and “core” authors and journals. We identify the six most important clusters of authors and their interactions. Further, we show 10 (11.6%) of 86 countries were responsible for the three quarters of NB-related research output. Conclusions: These findings are crucial for researchers, clinicians, journal editors, and consortiums working in neuroblastoma area to understand the strengths and potential gaps in neuroblastoma research and to plan future investments in data collection and science policy. This first scientometric study of global neuroblastoma research performance provides valuable insight into the scientific landscape, co-authorship network architecture, international collaboration, and interaction within the neuroblastoma community.

scholarly journals Research Output and International Cooperation Among Countries During the COVID-19 Pandemic: Scientometric Analysis

10.2196/24514 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e24514
Author(s):  
Nadja Grammes ◽  
Dominic Millenaar ◽  
Tobias Fehlmann ◽  
Fabian Kern ◽  
Michael Böhm ◽  
...  
Keyword(s):  
United States ◽  
United Kingdom ◽  
Web Application ◽  
Research Output ◽  
Large Data ◽  
The United States ◽  
Scientific Output ◽  
Scientometric Analysis ◽  
The United Kingdom ◽  
Collaborative Efforts

Background The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has instigated immediate and massive worldwide research efforts. Rapid publication of research data may be desirable but also carries the risk of quality loss. Objective This analysis aimed to correlate the severity of the COVID-19 outbreak with its related scientific output per country. Methods All articles related to the COVID-19 pandemic were retrieved from Web of Science and analyzed using the web application SciPE (science performance evaluation), allowing for large data scientometric analyses of the global geographical distribution of scientific output. Results A total of 7185 publications, including 2592 articles, 2091 editorial materials, 2528 early access papers, 1479 letters, 633 reviews, and other contributions were extracted. The top 3 countries involved in COVID-19 research were the United States, China, and Italy. The confirmed COVID-19 cases or deaths per region correlated with scientific research output. The United States was most active in terms of collaborative efforts, sharing a significant amount of manuscript authorships with the United Kingdom, China, and Italy. The United States was China’s most frequent collaborative partner, followed by the United Kingdom. Conclusions The COVID-19 research landscape is rapidly developing and is driven by countries with a generally strong prepandemic research output but is also significantly affected by countries with a high prevalence of COVID-19 cases. Our findings indicate that the United States is leading international collaborative efforts.

scholarly journals The impact of novel Coronavirus (COVID-19) and quarantine on the research production

2020 ◽  
pp. 8-16
Keyword(s):  
Research Output ◽  
Scientific Research ◽  
Scientific Writing ◽  
The Other ◽  
Treatment Methods ◽  
Research Production ◽  
Research Fields ◽  
Other Hand ◽  
Novel Coronavirus ◽  
The Impact

The whole world is now in horror, dismay, anticipation, and fear as a result of the outbreak of the new epidemic of the coronavirus (COVID-19). There is no doubt that this situation has severe impacts in various economic, tourism, industrial and research fields. Here we will address the effects of the spread of the coronavirus pandemic on researchers and their research outputs. This short study deals with some of the causes and forms influenced by scientific research and the academic aspect of researchers in some disciplines. In general, the spread of the coronavirus discouraged the research output by most researchers, by preventing them from going to laboratories and suspension the laboratory works. On the other hand, panic caused discouraging researchers in terms of scientific writing. The study recommends not to surrender, and scientists need to adapt themselves by using the quarantine in more effective actions. On the other hand, medical and biological publications related to the study of the virus and its treatment methods have increased.

scholarly journals Research Output and International Cooperation Among Countries During the COVID-19 Pandemic: Scientometric Analysis (Preprint)

2020 ◽  
Author(s):  
Nadja Grammes ◽  
Dominic Millenaar ◽  
Tobias Fehlmann ◽  
Fabian Kern ◽  
Michael Böhm ◽  
...  
Keyword(s):  
United States ◽  
United Kingdom ◽  
Web Application ◽  
Research Output ◽  
Large Data ◽  
The United States ◽  
Scientific Output ◽  
Scientometric Analysis ◽  
The United Kingdom ◽  
Collaborative Efforts

BACKGROUND The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has instigated immediate and massive worldwide research efforts. Rapid publication of research data may be desirable but also carries the risk of quality loss. OBJECTIVE This analysis aimed to correlate the severity of the COVID-19 outbreak with its related scientific output per country. METHODS All articles related to the COVID-19 pandemic were retrieved from Web of Science and analyzed using the web application SciPE (science performance evaluation), allowing for large data scientometric analyses of the global geographical distribution of scientific output. RESULTS A total of 7185 publications, including 2592 articles, 2091 editorial materials, 2528 early access papers, 1479 letters, 633 reviews, and other contributions were extracted. The top 3 countries involved in COVID-19 research were the United States, China, and Italy. The confirmed COVID-19 cases or deaths per region correlated with scientific research output. The United States was most active in terms of collaborative efforts, sharing a significant amount of manuscript authorships with the United Kingdom, China, and Italy. The United States was China’s most frequent collaborative partner, followed by the United Kingdom. CONCLUSIONS The COVID-19 research landscape is rapidly developing and is driven by countries with a generally strong prepandemic research output but is also significantly affected by countries with a high prevalence of COVID-19 cases. Our findings indicate that the United States is leading international collaborative efforts. CLINICALTRIAL

scholarly journals A Scientometric Analysis of Neuroblastoma Research

2020 ◽  
Author(s):  
Illya Martynov ◽  
Jessica Klima-Frysch ◽  
Joachim Schoenberger
Keyword(s):  
Network Architecture ◽  
Research Output ◽  
Research Performance ◽  
R Package ◽  
Scientific Output ◽  
Scientometric Analysis ◽  
Valuable Insight ◽  
Scholarly Data ◽  
Prolific Authors ◽  
Scientometric Study

Abstract Background: Thousands of research articles on neuroblastoma have been published over the past few decades; however, the heterogeneity and variable quality of scholarly data may challenge scientists or clinicians to survey all of the available information. Hence, holistic measurement and analyzation of neuroblastoma-related literature with the help of sophisticated mathematical tools could provide deep insights into global research performance and the collaborative architectonical structure within the neuroblastoma scientific community. In this scientometric study, we aim to determine the extent of the scientific output related to neuroblastoma research between 1980 and 2018. Methods: We applied novel scientometric tools, including Bibliometrix R package, biblioshiny, VOSviewer, and CiteSpace IV for comprehensive science mapping analysis of extensive bibliographic metadata, which was retrieved from the Web of ScienceTM Core Collection database. Results: We demonstrate the enormous proliferation of neuroblastoma research during last the 38 years, including 12,435 documents published in 1,828 academic journals by 36,908 authors from 86 different countries. These documents received a total of 316,017 citations with an average citation per document of 28.35 ± 7.7. We determine the proportion of highly cited and never cited papers, “occasional” and prolific authors and journals. Further, we show 12 (13.9%) of 86 countries were responsible for 80.4% of neuroblastoma-related research output. Conclusions: These findings are crucial for researchers, clinicians, journal editors, and others working in neuroblastoma research to understand the strengths and potential gaps in the current literature and to plan future investments in data collection and science policy. This first scientometric study of global neuroblastoma research performance provides valuable insight into the scientific landscape, co-authorship network architecture, international collaboration, and interaction within the neuroblastoma community.

FUNDAMENTAL AND APPLIED SCIENTIFIC RESEARCH March 2019: сб.науч.тр./ OEAPS Inc.; редкол.: Флора Бертран (отв.ред.) [и др.]. - Берлин, Германия : OEAPS Inc., 2019. - 104 C.

2019 ◽  
Author(s):  
Салтанат Дауытбековна Арыстанова ◽  
Курманбек Тажмаханбетович Жантасов ◽  
Жазира Тулжанова Жумадилова ◽  
Орынбасар Акпанович Алшынбаев ◽  
Гулаш Абдуллаева Бекбулатова ◽  
...  
Keyword(s):  
Graduate Students ◽  
Conference Proceedings ◽  
Basic Science ◽  
Applied Research ◽  
Scientific Research ◽  
University Libraries ◽  
International Forum ◽  
Electronic Library ◽  
European Academy ◽  
The Public

Organizers OEAPS Inc. (OPEN EUROPEAN ACADEMY OF PUBLIC SCIENCES) & ISA (International Scientific Association). The accepted materials are placed in the conference proceedings collection, the materials will be indexed by RISC / Elibrary, CrossRef, Google Scholar, LawArXiv, posted by Stanford University Libraries, Index Copernicus, OpenAir, assigned to ISBN.The conference is a major international forum for analyzing and discussing trends and approaches in research in the field of basic science and applied research. We provide a platform for discussions on innovative, theoretical and empirical research.The form of the conference: in absentia, without specifying the form in the collection of articles.Working languages: Russian, EnglishFollowing the conference, a collection of articles will be published within 10 days, which is posted on the publisher's website and is registered in the Elibrary Scientific Electronic Library . ru . The collection is assigned library indexes UDC, BBK and international standard book number ISBN.In Elibrary . ru articles posted in the public domain.Doctors and candidates of science, scientists, specialists of various profiles and directions, applicants for academic degrees, teachers, graduate students, undergraduates and students are invited to participate in the conference.

LEGAL RESEARCH AT AHMAD IBRAHIM KULLIYYAH OF LAWS, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA: TRENDS AND POLICIES

2012 ◽  
Vol 18 (1) ◽  
Author(s):  
Hunud Abia Kadouf ◽  
Umar Aimhanosi Oseini ◽  
Ainul Jaria Maidin
Keyword(s):  
Research Output ◽  
Academic Staff ◽  
Research Quality ◽  
Research Progress ◽  
Institutions Of Higher Education ◽  
Legal Research ◽  
The Past ◽  
Research Institution ◽  
Research Activities ◽  
The Status

The primary function of Ahmad Ibrahim Kulliyyah (Faculty) of Laws, at the very beginning of its inception, was that of teaching civil law and Sharî’ah subjects. As it matured, its vision has been varied from teaching to that of research with the aim of attaining the status of a full research institution that provides both quality research and best legal education in the region. Similar to other institutions of higher education in Malaysia, the responsibility of research is a shared function of both graduate students and the academic staff. The research output, on the part of the students is mostly composed of either Master Dissertations or PhD Theses. The academic members of the Faculty, however, are involved either in direct research, individually or jointly, supervision, and publications of their findings. By investigating and analyzing factors influencing research activities at AIKOL in the past twenty years, the researchers will be able to identify the general trends and development of research as it unfolded over years. The researchers hope that the policymakers, at both Faculty and University levels, will use the findings to improve research quality by boldly addressing the problems hampering research progress at AIKOL.

Questions to the Article of research output and international cooperation among countries during the COVID-19 pandemic (Preprint)

2020 ◽  
Author(s):  
Shu-Chun Kuo ◽  
Tsair-Wei Chien ◽  
Willy Chou
Keyword(s):  
Citation Analysis ◽  
International Cooperation ◽  
Web Of Science ◽  
Research Output ◽  
Visual Representations ◽  
Scientometric Analysis ◽  
Medical Subject Headings ◽  
Pubmed Central ◽  
The Us ◽  
Circle Diagram

UNSTRUCTURED We read with great interest the study by Grammes et al. on research output and international cooperation among countries during the COVID-19 pandemic. The paper is a quantitative study using scientometric analysis instead of a qualitative research using citation analysis. A total of 7,185 publications were extracted from Web of Science Core Collection (WoS) with keywords of “covid19 OR covid-19 OR sarscov2 OR sars-cov-2” as of July 4, 2020. We replicated a citation analysis study to extract abstracts from Pubmed Central(PMC) with similar keywords mentioned above and obtained 35,421 articles relevant to COVID-10 matching their corresponding number of citation in PMC. one hundred top-cited atricles were selected and compared on diagrams. Social network analysis combined with citation numbers in articles was performed to analyze international cooperation among countries. The results were shown on a world map instead of the circle diagram in the previous study. A Sankey diagram was applied to highlight entities(e.g., countries, article types, medical subject headings, and journals) with the most citations. Authors from Chian dominated citations in these 100 top-cited articles rather than the US in publications addressed in the previous study. Both visual representations of the world map and Sankey diagram were provided to readers with a better understanding of the research output and international cooperation among countries during the COVID-19 pandemic

scholarly journals Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries

2021 ◽  
Author(s):  
Christian Thiele ◽  
Gerrit Hirschfeld ◽  
Ruth von Brachel
Keyword(s):  
Clinical Trials ◽  
Random Forest ◽  
Random Forest Model ◽  
Scientometric Analysis ◽  
Data Set ◽  
The Public ◽  
Forest Model ◽  
Clinical Trial Registries ◽  
Multiple Primary ◽  
Clinical Trials Registry

AbstractRegistries of clinical trials are a potential source for scientometric analysis of medical research and serve important functions for the research community and the public at large. Clinical trials that recruit patients in Germany are usually registered in the German Clinical Trials Register (DRKS) or in international registries such as ClinicalTrials.gov. Furthermore, the International Clinical Trials Registry Platform (ICTRP) aggregates trials from multiple primary registries. We queried the DRKS, ClinicalTrials.gov, and the ICTRP for trials with a recruiting location in Germany. Trials that were registered in multiple registries were linked using the primary and secondary identifiers and a Random Forest model based on various similarity metrics. We identified 35,912 trials that were conducted in Germany. The majority of the trials was registered in multiple databases. 32,106 trials were linked using primary IDs, 26 were linked using a Random Forest model, and 10,537 internal duplicates on ICTRP were identified using the Random Forest model after finding pairs with matching primary or secondary IDs. In cross-validation, the Random Forest increased the F1-score from 96.4% to 97.1% compared to a linkage based solely on secondary IDs on a manually labelled data set. 28% of all trials were registered in the German DRKS. 54% of the trials on ClinicalTrials.gov, 43% of the trials on the DRKS and 56% of the trials on the ICTRP were pre-registered. The ratio of pre-registered studies and the ratio of studies that are registered in the DRKS increased over time.

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