Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
95
datasets available to search
ShareScore release 0.9.0
Dataset results
95 results for “bibliometric analysis”
Southeast Asia-bibliometric analysis
<p>The Southeast Asia dataset is derived from the Scopus database, capturing research related to digital topics within countries such as Malaysia, Indonesia, Thailand, Singapore, Vietnam, Cambodia, Philippines, Myanmar, Laos, Brunei, and Timor-Leste. Crafted using targeted queries, the dataset reflects the digital landscape, technological advancements, and research priorities within the context of Southeast Asia.</p>
List of references used in the bibliometric analysis of Chapter 2 - History of Research About the Tropical Brazilian Coral Reef Systems - Book: Brazilian Coral Reefs
<p>This list contains 755 references related to coral reefs research. This list was obtained through a search for articles and book chapters in the databases Web of Science and Scopus, using the terms "reef" and "Brazil" in Title, Abstract and Keywords, added to references included from the authors own databases. The search was made in February, 12th 2021.</p>
Research Landscape of Energy Transition and Green Finance: A Bibliometric Analysis
<p>Dataset for article title "<span>Research Landscape of Energy Transition and Green Finance: A Bibliometric Analysis".</span></p>
Critical illness journeys: a bibliometric analysis
<p>Data extraction table for the project: critical illness journeys - a bibliometric analysis. </p>
Emerging trends on workplace ethics and mental health: A bibliometric analysis using CiteSpace
<p>The Dataset is utilized to do a bibliometric analysis in combining Workplace Ethics and Mental Health during the period of 1989 to 2023.</p>
Evolutionary Overview of Surface Wave Method Based on Bibliometric Analysis: Past, Current and Future
<p>The surface wave method has been a cornerstone in seismic imaging and monitoring across diverse scenarios for the past 70 years. We offers an objective snapshot of the current landscape in surface wave method research through a comprehensive bibliometric analysis. Utilizing both bibliographic and structured network analysis techniques, including Biblioshiny and VOSviewer applications, we meticulously examine the literature spanning from 1952 to 2024, sourced from the Web of Science Core Collection database. This work has been submitted to "SCIENCE CHINA earth science" for peer review ( Guan et al., 2024 ).</p> <p>The package includes the datasets utilized for bibliometric analysis in the submitted manuscript. It includes a text file named "Refined_TabDelimited_Data.txt" for VOSviewer software and a spreadsheet "Refined_Bibliometrix_Data.xlsx" for Biblioshiny application.</p>
Bibliometric analysis of research trends in aquafeed formulation
<p>A bibliographic comparison could be conducted between the two considered time periods, 2010-2019 and 2020-2025, to explore how research priorities and trends might have evolved. The earlier period would provide a foundation of historical developments, while the more recent one could focus on current trends and innovations. This analysis could reveal shifts in scientific and industrial priorities, offering insights into how emerging challenges and opportunities might be influencing the aquaculture field. The findings would provide valuable perspectives on the direction of research, particularly regarding sustainability and efficiency in aquaculture. Such analyses, based on database resources, could be applied to track trends, identify gaps, and guide future research directions.</p>
A Bibliometrics Analysis of Australian Computing Education Conference Proceedings
<p>The bib file includes the bib records of all research publications of Australasian Computing Education Conference prior to 2022.</p>
A bibliometric analysis of systematic reviews and meta-analyses in ophthalmology, from 2000 to 2020
<p><span>Objectives:</span><span> To establish the scientometric landscape of </span><span>systematic reviews and meta-analyses (SRMAs) published in the field of ophthalmology over time.</span></p> <p><span>Results</span><span>: A total of 2,660 SRMAs were included, and t</span><span>he average annual growth rate was 21.26%. </span><span>China and the USA were the most productive countries, while </span><span>Singapore was</span><span> the country with the highest </span><span>average citations per document. Wong TY was not only the most productive, but also the most frequently cited author. The most productive affiliation was National University of Singapore (n=236). SRMA output in most subspecialties had steadily increased with retina/vitreous (n=986), glaucoma (n=411) and cornea/external diseases (n=303) constantly as the most dominant fields. Rates of </span><span>pre-registration and guideline compliance had dramatically increased over time</span><span>, with 20.0% and 63.5% of SRMA being pre-registered and reported guideline in 2020, respectively. However, SRMAs published on ophthalmic journals tended to be less frequently pre-registered and guideline complied than those on non-ophthalmic journals (both P < 0.05).</span></p> <p><span>Conclusions</span><span>:</span><span> The annual output of SRMAs has been rapidly increasing over the past two decades. China and the USA were the most productive countries, whereas Singapore had the most prolific and influential scholar and institution. R</span><span>aising awareness and </span><span>implementation </span><span>of SRMA pre-registration and guideline compliance </span><span>is still necessary to ensure quality, especially for ophthalmic journals.</span></p>
Raw Bibliobmetric Data for the article "The Scientific Landscape of Phytoremediation of Tailings: A Bibliometric and Scientometric Analysis"
<p>Bibliometric data for CiteSpace related to the scientific article "The Scientific Landscape of Phytoremediation of Tailings: A Bibliometric and Scientometric Analysis".</p>
Metadata of the Top 40 Journals in Distance Education: A Bibliometric Analysis of Impact 2018-2022
<p>This file contains metadata from the 40 most impactful journals in the field of distance education, selected through a rigorous bibliometric analysis using the SCImago Journal Rank (SJR) indicator provided by SCImago. Two main criteria guided the selection: the first targeted journals ranked in Q1 and Q2 in the specific category of "e-learning" within the social sciences and education area, highlighting publications that demonstrate high impact and relevance in the academic community according to the selected indicator. The second criterion was based on keyword searches in the journal titles, selecting those that include terms like e-learning, online, Distance Education, Technology Learning, Communications in Information, and Information Education and their variants (e.g., plural), also positioned in Q1 or Q2.</p> <p>The metadata, extracted from the Scopus database, covers publications from the period 2018 to 2022 and includes vital information such as document type, authors' names, article title, journal name, publication year, pages, volume, and issue number. Additionally, each article is identified by a Digital Object Identifier (DOI) and URLs for direct access to the full text online, along with abstracts and keywords. These elements together provide a comprehensive and accessible view of the articles, facilitating bibliometric analyses and related academic research.</p> <p>This compilation serves as an essential resource for researchers and educators interested in understanding the dynamics and development of the field of distance education, offering a solid foundation for future investigations and the formulation of evidence-based educational policies.</p>
Academic Research at UNTRM: Bibliometric Analysis in Economic and Administrative Sciences
<p><span>Bibliometric analysis is crucial to assess research trends in disciplines such as economics and administrative sciences. This study aims to detail trends and developments in these areas at the Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), highlighting emerging themes and influential actors. A systematic bibliometric methodology was used to understand the scientific focus of the publications of the thesis students of the Faculty of Economics and Administrative Sciences of the UNTRM. Scopus documents were thoroughly reviewed, using specific inclusion and exclusion criteria. The research followed a qualitative descriptive approach with non-experimental and longitudinal design. A total of 379 faculty theses were analyzed through December 31, 2023, using keywords such as "bibliometric analysis," "economic sciences," "management," "digital transformation," "business sustainability," and "energy efficiency." The initial search identified 786 papers, which were refined for quality assurance. Bibliometric analysis was performed with VOSviewer and Bibliometrix R, facilitating the creation of scientific maps and exploration of citation patterns. Results showed that the most researched topics include digital transformation, sustainability, energy efficiency and business innovation. Influential authors and institutions within UNTRM were identified and major research trends were mapped, highlighting emerging areas and gaps in the current literature. These findings are significant for future research as they provide a basis for exploring new directions in economics and management sciences. This bibliometric analysis not only maps research streams and scholarly collaborations at UNTRM, but also promotes a deeper understanding of the dynamics in these key areas of study.</span></p>
MOH-AMM-SC-2024 ePoster ID 44: Mapping The Landscape of Precision Public Health: A Bibliometric Analysis of Influential Works and Key Contributors
<p>Supplementary Material for Poster Presentation</p> <p>MOH-AMM-SC-2024 ePoster ID 44: Mapping The Landscape of Precision Public Health: A Bibliometric Analysis of Influential Works and Key Contributors</p> <p>Conference: 15th MOH-AMM Scientific Meeting 2024 in conjunction with 25th NIH Scientific Conference</p>
Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)
<p>This dataset was created in the context of the project: " Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)".</p> <p>---</p> <p>Global warming is a topic of increasing public importance, but there have not been published scientometric studies on this topic. The objective of this paper is to contribute to a better understanding of the scientific knowledge in global warming and his effect, as well as to investigate its evolution through the published papers included in Web of Science database. Items under study were collected from Web of Science database from Thomson Reuters. A bibliometric and social network analyses was performed to obtain indicators of scientific productivity, impact and collaboration between researchers, institutions and countries. A subject analysis was also carried out taking into account the key words assigned to papers and subject areas of journals. 1,672 articles were analysed since 2005 until 2014. The most productive journals were Journal of Climate (n=95) and Geophysical Resarch Letters (n=78). The most frequent keywords have been Climate Change (n=722), Model (n=216) and Temperature (n=196). The network of collaboration between countries shows the central position of the United States, together with other leading countries such as United Kingdom, Germany, France and Peoples Republic of China. The research on global warming had grown steadily during the last decade. A vast amount of journals from several subject areas publishes the papers on the topic, including journals of general purpose with high impact factor. Almost all the countries have USA as the main country with which one collaborates. The analysis of key words shows that topics related with climate change, impact, temperature, models and variability are the most important concerns on global warming.</p> <p>---</p> <p>The dataset consist of the following:</p> <p>1) The list of papers included in the analyses: Papers.xlsx</p> <p>This file contains 1672 titles, each line representing a paper (including title of the paper, journal ISSN and year of publication).</p> <p>2) The list of authors: Authors.xlsx</p> <p>This file contains all 4488 authors, each line representing an author (including full name, total number of papers and year of publication).</p> <p>3) The list of scientific journals: Journals.xlsx</p> <p>This file containts all 687 journals, each line representing a journal (including name of the journal, ISSN, total number of papers and year of publication).</p> <p>4) The list of countries: Country.xlsx</p> <p>This file contains all 84 countries, each line representing a country (including country name, total number of papers, total number of citations, and number of citations per paper).</p> <p>5) The list of keywords: Keywords.xlsx</p> <p>This file contains all 6422 keywords, each line representing a keyword (including keywords, number of papers and year of publication)</p>
A bibliometric analysis of the term "Anthropocene"
<p>This repository contains data and code to reproduce a small bibliometric analyses of the term "Anthropocene" that is part of a submitted paper to the journal "Progress in Physical Geography"</p> <p> </p> <p> </p>
Rawdata of a bibliometric analysis of liver fibrosis magnetic resonance imaging research from 1998 to 2017
<p>The details of all literature downloaded from WoSCC as plain-text files including the full records.</p>
Gender issues in fundamental physics: a bibliometric analysis
<p>Bibliometric InSpire database (covering fundamental physics from ≈1970 to 2018) analysed in the publication “Gender issues in fundamental physics: a bibliometric analysis” (to appear on the journal Quantitative Science Studies). </p> <p>gzipped .dat table, format described in the Appendix of the publication.</p>
The Rising Influence of AI in Higher Education: Trends and Insights from a Bibliometric Analysis
<p>The purpose of this research was to examine the evolution, scope, and orientation of the scientific production on artificial intelligence applications in university students. The methodology, with a non-experimental design and qualitative approach, involved a search in Scopus, identifying 643 documents between 1975-2024, analyzed through VOSviewer and Bibliometrix. The results show an emerging field, but with rapid growth (4.59% per year), with notoriety of Kong, Abdulrahman and Chai. Research is predominantly in computer science (61%), social sciences (33%) and engineering (23%) from China, USA, Spain and Taiwan. Current applications focus on the use of AI in education, machine learning, support for academic decisions and student mental health. However, it is necessary to expand the approach towards ethical and regulatory aspects and the evaluation of multifaceted effects on different student profiles. In conclusion, although production is growing rapidly, more comprehensive perspectives are required to responsibly enhance the impact of these technologies on the university educational experience.</p>
Global Trends in research of work-related musculoskeletal disorders among surgeons: Bibliometric analysis and visualization from 1991 to 2024
<p><span><span>This file contains all the information relating to the 184 articles included in the bibliometric analysis.</span></span></p>
Knowledge syntheses in medical education: A bibliometric analysis
<p>This is the raw data for the manuscript "Knowledge syntheses in medical education: A bibliometric analysis" by Maggio, Costello, Norton, Driessen, and Artino. The data contain the citations, including the DOI, PMID, and all author locations for all 963 knowledge syntheses included in the study. This study has also been published in a peer reviewed journal: </p> <p>Maggio LA, Costello JA, Norton C, Driessen EW, Artino Jr AR. <a href="https://link.springer.com/article/10.1007/s40037-020-00626-9">Knowledge syntheses in medical education: A bibliometric analysis</a>. <em>Perspectives on Medical Education</em>. 2020 Oct 22:1-9.</p> <p> </p> <p>The abstract for the study is as follows:</p> <p><strong>Purpose</strong> This bibliometric analysis maps the landscape of knowledge syntheses in medical education. It provides scholars with a roadmap for understanding where the field has been and where it might go in the future. In particular, this analysis details the venues in which knowledge syntheses are published, the types of syntheses conducted, citation rates they produce, and altmetric attention they garner.</p> <p><strong>Method</strong> In 2020, the authors conducted a bibliometric analysis of knowledge syntheses published in 14 core medical education journals from 1999 to 2019. To characterize the studies, metadata was extracted from Pubmed, Web of Science, Altmetrics Explorer, and Unpaywall.</p> <p><strong>Results</strong> The authors analyzed 963 knowledge syntheses representing 3.1% of total articles published (n=30,597). On average, 45.9 knowledge syntheses were published annually (SD=35.85, Median=33), and there was an overall 2,620% increase in the number of knowledge syntheses published from 1999 to 2019. The journals each published, on average, a total of 68.8 knowledge syntheses (SD=67.2, Median=41) with <em>Medical Education</em> publishing the most (n=189; 19%). Twenty-one knowledge synthesis types were identified; the most prevalent types were systematic reviews (n=341; 35.4%) and scoping reviews (n=88; 9.1%). Knowledge syntheses were cited an average of 53.80 times (SD=107.12, Median=19) and received a mean Altmetric Attention Score of 14.12 (SD=37.59, Median=6).</p> <p><strong>Conclusions</strong> There has been considerable growth in knowledge syntheses in medical education over the past 20 years, contributing to medical education’s evidence base. Beyond this increase in volume, researchers have introduced methodological diversity in these publications, and the community has taken to social media to share knowledge syntheses. Implications for the field, including the impact of synthesis types and their relationship to knowledge translation, are discussed.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.