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45 results for “Web of Science”
Annual Article Processing Charges (APCs) and number of gold and hybrid open access articles in Web of Science indexed journals published by Elsevier, Sage, Springer-Nature, Taylor & Francis and Wiley 2015-2018
<p><strong>Dataset of annual Article Processing Charges (APCs) for 6,252 journals from 2015 to 2018. </strong>The dataset contains annual APCs for journals indexed in the Web of Science (WoS) and published by the oligopoly of academic publishers (Elsevier, Sage, Springer-Nature, Taylor & Francis, Wiley). It also includes an estimate of the total APCs paid by the academic community based on the number of gold and hybrid articles published between 2015 and 2018. The dataset was created using publication data from WoS, OA status from Unpaywall and annual APC prices from open datasets (<a href="https://doi.org/10.5281/ZENODO.3841568">Matthias, 2020</a>; <a href="https://doi.org/10.5683/SP2/84PNSG">Morrison, 2021</a>) and historical fees retrieved via the Internet Archive Wayback Machine. </p> <p>Detailed methods and findings are reported in the following journal article</p> <p>Butler, L.-A., Matthias, L., Simard, M.-A., Mongeon, P., & Haustein, S. (2023). The Oligopoly's Shift to Open Access. How the Big Five Academic Publishers Profit from Article Processing Charges. <em>Quantitative Science Studies</em>. Preprint: <a href="https://doi.org/10.5281/zenodo.8322555">https://doi.org/10.5281/zenodo.8322555</a></p> <p><strong>Description of included files (v1):</strong></p> <p><em>APCs.csv: </em>contains the annual APCs for gold and hybrid OA journals indexed in Web of Science published by the oligopoly of academic publishers (Elsevier, Sage, Springer-Nature, Taylor & Francis, Wiley) between 2015 and 2018 including the total estimate of APCs paid per journal per year. It contains APC data for 18,846 journal-year-OA status combinations.</p> <p><em>countries.csv</em>: contains the fractionalized number of annual gold and hybrid OA articles by oligopoly publishers between 2015 and 2018 and the total estimate of fractionalized APCs paid per country per journal per year.</p> <p><em>oecd.csv</em>: contains the fractionalized number of annual gold and hybrid OA articles by oligopoly publishers between 2015 and 2018 and the total estimate of fractionalized APCs per discipline per journal per year.</p> <p><em>ReadMe.csv</em>: contains a description of the variables used in <em>APCs.csv</em>, <em>countries.csv</em> and <em>oecd.csv</em>.</p> <p> </p>
Data Science in Biomedicine - Web of Science datasets
<p>Datasets from the Web of Science search for the number of publications associated with the topics "Data Science", "Big Data" and "Cloud Computing" from 2004 to 2019 in 9 different countries.</p>
Supplemental data for: Variations in the naming of malondialdehyde (MDA) in PubMed-, Scopus-, and Web of Science-indexed literature
<p>Three scientific databases (PubMed, Scopus, and Web of Science (WoS)) were consulted (July 14, 2022) to assess the frequency of eight nomenclatural forms of malondialdehyde (MDA). Due to the peculiarities of the search interface of the selected databases, PubMed was searched in the Title and Abstract fields (search query example in PubMed: "malone dialdehyde"[Title/Abstract]), Scopus was searched in the Title, Abstract, and Keywords fields (search query example in Scopus: TITLE-ABS-KEY (“malone dialdehyde”)), and WoS Core Collection was searched in the Title, Abstract, Author keywords, and Keywords Plus fields (search query example in WoS Core Collection: TS=(“malone dialdehyde”)). All types of publications for the years 2002-2021 are taken into account.</p>
Data from: Open access levels: a quantitative exploration using Web of Science and oaDOI data
<p>This is the raw data behind the publication (on PeerJ Preprints):</p> <p><strong>Open access levels: a quantitative exploration using Web of Science and oaDOI data</strong></p> <p>Across the world there is growing interest in open access publishing among researchers, institutions, funders and publishers alike. It is assumed that open access levels are growing, but hitherto the exact levels and patterns of open access have been hard to determine and detailed quantitative studies are scarce. Using newly available open access status data from oaDOI in Web of Science we are now able to explore year-on-year open access levels across research fields, languages, countries, institutions, funders and topics, and try to relate the resulting patterns to disciplinary, national and institutional contexts. With data from the oaDOI API we also look at the detailed breakdown of open access by types of gold open access (pure gold, hybrid and bronze), using universities in the Netherlands as an example. There is huge diversity in open access levels on all dimensions, with unexpected levels for e.g. Portuguese as language, Astronomy & Astrophysics as research field, countries like Tanzania, Peru and Latvia, and Zika as topic. We explore methodological issues and offer suggestions to improve conditions for tracking open access status of research output. Finally, we suggest potential future applications for research and policy development. We have shared all data and code openly.</p>
Web Of Science (WOS-5736)
<p>Web Of Science (WOS-5736) is a collection of academic articles/journals. 5,736 documents classified in 11 classes.</p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition.</p>
Web Of Science (WOS-11967)
<p>Web Of Science (WOS-11967) is a collection of academic articles/journals. WOS-11967, with 11,967 documents partitioned across 33 categories;</p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition.</p>
Soft governance and soft law literature, gathered from Scopus and Web of Science
<p>This is a list of literature related to soft governance and soft law.</p> <p>The soft governance literature was collected on the 12th of July, 2022. 110 articles from Web of Science and 169 articles from Scopus that had any variance of “soft govern*” in either their title, abstract or keywords were consolidated into one collection of 179 articles. These were randomly labelled with a SoftGov_000 identifier.</p> <p>The soft law literature was collected on the 12th of December, 2022. 1026 articles from Web of Science and 1803 articles from Scopus that had any variance of “soft law” in either their title, abstract or keywords were consolidated into one collection of 1960 articles. These were randomly labelled with a SoftLaw_0000 identifier.</p> <p>For the Web of Science searches in both phases, the specific WoS indices searched are “Science Citation Index Expanded” (SCI-EXPANDED)--1955-present, “Social Sciences Citation Index” (SSCI)--1956-present, “Arts & Humanities Citation Index” (AHCI)--1975-present, “Conference Proceedings Citation Index” – Science (CPCI-S)--1990-present, “Conference Proceedings Citation Index” – Social Science & Humanities (CPCI-SSH)--1990-present and “Emerging Sources Citation Index” (ESCI)--2017-present</p>
Bibliographic data on datasets affiliated to Poznan University of Technology and indexed in Data Citation Index (retrieved by Web of Science service in January 2023))
<p>The file contains the number of datasets published by the researchers affiliated to Poznan University of Technology and indexed in Data Citation Index provided by Web of Science (database updated 10.01.2023). The Search was performed using the name of institution in the 'Affiliation' field. Dataset contains two files in two diffrent formats: plain text and xls.</p>
Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic
<p>This data set contains supplementary material for the paper 'Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic' by Martijn Visser, Nees Jan van Eck, and Ludo Waltman. The data set provides the statistics presented in the figures in the paper.</p>
Dataset for the submission entitled: Journal article publishing in the social sciences and humanities: a comparison of Web of Science coverage for five European countries
<p>Dataset for the manuscript submission entitled: Journal article publishing in the social sciences and humanities: a comparison of Web of Science coverage for five European countries.</p>
English-language articles related to petrophysics retrieved from the SSCI sub-database of Web of Science core database (Time: 2000.01.01-2022.12.31)
<p>According to the research content of petrophysics, petrophysics can be divided into eight branches: rock electricity, rock acoustics, rock nuclear physics, rock mechanics, rock thermophysics, rock nuclear magnetic resonance spectroscopy(NMR), rock gravimetry (density), and rock magnetism. This dataset presents the scientific literature retrieved by selecting the "Science Citation Index Expanded(SCI-EXPANDED)-- 1982-present" sub-library from the core collection database of Web of Science. </p>
For the people by the people: citizen science web interface for real-time monitoring of tick risk areas in Finland
<p>Ticks and tick-borne diseases (TBDs) form a significant and growing threat to human health and well-being in Europe, with increasing numbers of tick-borne encephalitis (TBE) and Lyme borreliosis cases being reported during the past few decades. Increasing knowledge of tick risk areas and seasonal activity remains the primary method for preventing TBDs. Crowdsourcing provides the best alternative for rapidly obtaining data on tick occurrence on a national level.</p> <p>In order to produce and share up-to-date data about tick risk areas in Finland, an online platform, Punkkilive (www.punkkilive.fi/en), was launched in April 2021. On the website, users can submit and browse tick observations, report tick numbers and hosts, and upload pictures of ticks.</p> <p>Here, we looked at trends in the crowdsourced data from 2021, assessed the effect of local tick species on seasonality of observations, and examined sampling bias in the data.</p> <p>The high number of tick observations (n=78 837) highlights that there was demand for such a service. Approximately 97% of 5573 uploaded pictures represented ticks. Seasonal patterns of tick observations varied across Finland, highlighting variability in the risk associated with the two human-biting tick species <em>Ixodes ricinus</em> and <em>I. persulcatus</em>, the latter having a shorter, unimodal activity peak in late spring–early summer. Tick numbers were low and the proportion of new sightings was high in northern Finland, as may be expected near the latitudinal distribution limits of both species. While the number of inhabitants generally explained the number of tick observations well, geographically weighted regression models also identified areas that deviated from this general pattern.</p> <p>This study offers a prime example of how crowdsourcing can be applied to track vectors of zoonotic diseases, to the benefit of both researchers and the public. Areas with more or fewer observations than predicted based on number of inhabitants were revealed, wherein more specific analyses may reveal factors contributing to lower or higher risk levels that may be used in increasing awareness. We hope that the success of Punkkilive serves to highlight the usefulness of citizen science in the prevention of vector-borne diseases.</p>
Búsqueda en Web of Science sobre especies nuevas de hongos descritas en Chile en los últimos cinco años (2020–2024)
Open the record for dataset details and reuse information.
[Update 2021] Cara mudah Submit Jurnal ke Clarivate Web of Science
<p>Yth. Bapak dan ibu Pengelola Jurnal</p> <p>Berikut ini adalah Update 2021 atau Info Terkini Cara mudah Submit Jurnal ke Clarivate Web of Science: <a href="https://www.youtube.com/watch?v=Maycjw2HFY4">https://www.youtube.com/watch?v=Maycjw2HFY4</a> atau ke link URL ini:<br> <a href="https://www.jihadisjurnal.com/2021/09/link-url-mendaftarkan-jurnal-ke-wos.html">https://www.jihadisjurnal.com/2021/09/link-url-mendaftarkan-jurnal-ke-wos.html</a></p>
Serbian researchers papers in Web of Science database in the period 2003-2021
<p>This is dataset about Serbian papers published in journals indexed in Web of Science collections in the period 2003-2021<br> We used as "serbian" countries: Serbia, Serbia and Montenegro, Yugoslavia</p> <p>The terms Serbian researcher and Serbian paper used in this dataset are defined as follows:<br> Serbian researcher is a researcher affiliated with a Serbian institution,<br> Serbian paper is a paper with at least one Serbian researcher in the list of authors.<br> This means that a paper published by a researcher with non-Serbian nationality (i.e. German) working at a Serbian institution is taken into account in the analysis of Serbian papers described in this paper.</p> <p>Thomson Reuters’ Web of Science (WoS) database was used for data acquisition. We searched Serbian papers in two WoS collections - Science Citation Index Expanded (SCIE) and the Social Science Citation Index (SSCI). The search query executed over those collections on 18th of January, 2022.<br> CU=(%Serbia% OR %Serbia and Montenegro% OR %Yugoslavia%) AND PY=[2003-2021]<br> </p> <p>We also analyzed the number of articles of Serbian researchers published in journals with an unstable impact factor (IF), i.e. journals which didn’t have an IF before 2008, and had one in some subperiod of 2008-2015, i.e. lost their IF until 2015. The majority of those journals stopped being indexed in Web of Science as a ban for losing the quality or having predatory journal behavior. We found 143 such journals and their ISSNs by using the JCR (Journal citation reports in the period 2007 - 2015).<br> <br> </p>
NUTS2 Fractionalized Web of Science Output 2000 to 2013
<p>This is a database consisting of Web of Science publications, allocated to NUTS2 regions on the basis of institutional street addresses. There are also a number of other NUTS2 variables in the database, most of which have been published by Eurostat. </p>
Dynamic Entrepreneur Functions in Web of Science
<p>A dataset of all papers with dynamic entrepreneur functions in Web of Science. The following keywords are searched and extracted from WOS:</p> <ul> <li>entrepreneur and arbitrage</li> <li>entrepreneur and composition</li> <li>entrepreneur and coordination</li> <li>entrepreneur and coordinator</li> <li>entrepreneur and image</li> <li>entrepreneur and innovation</li> <li>entrepreneur and innovator</li> <li>entrepreneur and reputation</li> <li>entrepreneur and reputator</li> <li>entrepreneur and risk</li> <li>entrepreneur and uncertainty</li> </ul> <p>The resulting tables are in two formats: </p> <ul> <li>allterms.csv holds all searchterms in a row, with the citation sums for 1980-2017 in separate columns. </li> <li>allterms_melted.csv holds all combination of searchterm and citations sum as rows (for pivot tables in Python/Excel)</li> </ul> <p>The following columns are available:</p> <ul> <li>Title</li> <li>Authors</li> <li>Corporate Authors</li> <li>Editors</li> <li>Book Editors</li> <li>Source Title</li> <li>Publication Date</li> <li>Publication Year</li> <li>Volume</li> <li>Issue</li> <li>Part Number</li> <li>Supplement</li> <li>Special Issue</li> <li>Beginning Page</li> <li>Ending Page</li> <li>Article Number</li> <li>DOI</li> <li>Conference Title</li> <li>Conference Date</li> <li>Total Citations</li> <li>Average per Year</li> <li>1980-2018 <strong>(allterms.csv only)</strong></li> <li>searchterm</li> <li>year_of_citations <strong>(allterms_melted.csv only)</strong></li> <li>citations_per_year <strong>(allterms_melted.csv only)</strong></li> </ul>
Table 1: Publications found in the Scopus and Web of Science database from 2000 to 2019 (excluding duplicate articles) on the topic of biorefineries.
<p>Table referring to the study of systematic literature review on the social impact of small and medium-sized biorefineries.</p>
Artigos na Web of Science sobre "políticas públicas" and "ensino superior" no período de 2000 a 2022
<p>O arquivo corresponde a um conjunto de dados parcial da pesquisa "A precarização do trabalho docente asseverada na pandemia da Covid-19: políticas públicas para minorar o esgotamento profissional", financiada pelo CNPq. Mais especificamente, disponibiliza-se os dados referentes a produção veiculada pela Web of Science sobre "políticas públicas" and "ensino superior" no período de 2000 a 2022. </p> <p>O arquivo é composto por informações autorais, títulos dos artigos, revistas em que foram publicados, idioma, países e instituições de vínculo dos autores, dentre outras.</p>
Nipah virus: Analysis of the scientific production in Open Access on the Web of Science, 2000 - 2020
<p>Data used in the analysis of the scientific production of Nipah in open access in the period 2000 to 2020</p>
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