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Global Total Number of Scientific Publications in Artificial Intelligence Share by Country (Units (Publications)), 2023 Discover more data with ReportLinker!
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This dataset is a compilation of processed data on citation and references for research papers including their author, institution and open access info for a selected sample of academics analysed using Microsoft Academic Graph (MAG) data and CORE. The data for this dataset was collected during December 2019 to January 2020.Six countries (Austria, Brazil, Germany, India, Portugal, United Kingdom and United States) were the focus of the six questions which make up this dataset. There is one csv file per country and per question (36 files in total). More details about the creation of this dataset are available on the public ON-MERRIT D3.1 deliverable report.The dataset is a combination of two different data sources, one part is a dataset created on analysing promotion policies across the target countries, while the second part is a set of data points available to understand the publishing behaviour. To facilitate the analysis the dataset is organised in the following seven folders:PRTThe dataset with the file name "PRT_policies.csv" contains the related information as this was extracted from promotion, review and tenure (PRT) policies. Q1: What % of papers coming from a university are Open Access?- Dataset Name format: oa_status_countryname_papers.csv- Dataset Contents: Open Access (OA) status of all papers of all the universities listed in Times Higher Education World University Rankings (THEWUR) for the given country. A paper is marked OA if there is at least an OA link available. OA links are collected using the CORE Discovery API.- Important considerations about this dataset: - Papers with multiple authorship are preserved only once towards each of the distinct institutions their authors may belong to. - The service we used to recognise if a paper is OA, CORE Discovery, does not contain entries for all paperids in MAG. This implies that some of the records in the dataset extracted will not have either a true or false value for the _is_OA_ field. - Only those records marked as true for _is_OA_ field can be said to be OA. Others with false or no value for is_OA field are unknown status (i.e. not necessarily closed access).Q2: How are papers, published by the selected universities, distributed across the three scientific disciplines of our choice?- Dataset Name format: fsid_countryname_papers.csv- Dataset Contents: For the given country, all papers for all the universities listed in THEWUR with the information of fieldofstudy they belong to.- Important considerations about this dataset: * MAG can associate a paper to multiple fieldofstudyid. If a paper belongs to more than one of our fieldofstudyid, separate records were created for the paper with each of those _fieldofstudyid_s.- MAG assigns fieldofstudyid to every paper with a score. We preserve only those records whose score is more than 0.5 for any fieldofstudyid it belongs to.- Papers with multiple authorship are preserved only once towards each of the distinct institutions their authors may belong to. Papers with authorship from multiple universities are counted once towards each of the universities concerned.Q3: What is the gender distribution in authorship of papers published by the universities?- Dataset Name format: author_gender_countryname_papers.csv- Dataset Contents: All papers with their author names for all the universities listed in THEWUR.- Important considerations about this dataset :- When there are multiple collaborators(authors) for the same paper, this dataset makes sure that only the records for collaborators from within selected universities are preserved.- An external script was executed to determine the gender of the authors. The script is available here.Q4: Distribution of staff seniority (= number of years from their first publication until the last publication) in the given university.- Dataset Name format: author_ids_countryname_papers.csv- Dataset Contents: For a given country, all papers for authors with their publication year for all the universities listed in THEWUR.- Important considerations about this work :- When there are multiple collaborators(authors) for the same paper, this dataset makes sure that only the records for collaborators from within selected universities are preserved.- Calculating staff seniority can be achieved in various ways. The most straightforward option is to calculate it as _academic_age = MAX(year) - MIN(year) _for each authorid.Q5: Citation counts (incoming) for OA vs Non-OA papers published by the university.- Dataset Name format: cc_oa_countryname_papers.csv- Dataset Contents: OA status and OA links for all papers of all the universities listed in THEWUR and for each of those papers, count of incoming citations available in MAG.- Important considerations about this dataset :- CORE Discovery was used to establish the OA status of papers.- Papers with multiple authorship are preserved only once towards each of the distinct institutions their authors may belong to.- Only those records marked as true for _is_OA_ field can be said to be OA. Others with false or no value for is_OA field are unknown status (i.e. not necessarily closed access).Q6: Count of OA vs Non-OA references (outgoing) for all papers published by universities.- Dataset Name format: rc_oa_countryname_-papers.csv- Dataset Contents: Counts of all OA and unknown papers referenced by all papers published by all the universities listed in THEWUR.- Important considerations about this dataset :- CORE Discovery was used to establish the OA status of papers being referenced.- Papers with multiple authorship are preserved only once towards each of the distinct institutions their authors may belong to. Papers with authorship from multiple universities are counted once towards each of the universities concerned.Additional files:- _fieldsofstudy_mag_.csv: this file contains a dump of fieldsofstudy table of MAG mapping each of the ids to their actual field of study name.
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Global Total Number of Scientific Publications in Food Science Share by Country (Units (Publications)), 2023 Discover more data with ReportLinker!
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Global Total Number of Scientific Publications in Chemical Engineering by Country, 2023 Discover more data with ReportLinker!
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TwitterAcademic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.
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TwitterChina produced ****** publications in the field of artificial intelligence (AI) between 2016 and 2020, which was the highest amount worldwide. The United States and India followed with ****** and ****** AI-related publications over that period, respectively.
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TwitterThe statistic shows the top ten countries with the highest number of artificial intelligence (AI) research institutions with publications as of 2017. The United States accounted for 43 percent of AI research institutions with publications worldwide.
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TwitterIn 2018, the number of citable academic articles per thousand inhabitants in Qatar amounted to ****. Over the past few years, members of the Gulf Cooperation Council (GCC) have set a strong motivation to move towards becoming knowledge based economics by increasing their investment in the research infrastructure.
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TwitterThis table shows the list of journals selected in the research entitled "Citation patterns, the Matilda effect and gender bias in communication & media Studies scientific output in Ibero-America (1980-2022)". This article analyses diachronically the role of women in the field of communication & media Studies in Ibero-America by studying the presence or absence of women in the bibliography of a selection of articles taken from 60 communication academic journals in nine countries (Spain, Portugal, Brazil, Argentina, Mexico, Chile, Colombia, Ecuador and Peru) between 1980 and 2022. This study measures the degree of visibility of female scientists and their contribution and compares it statistically to that of their male counterparts by quantifying from a gender perspective the citation patterns of authors of the 484 scientific articles included in the study. The findings showed that the visibility of the female researchers-authors increased over time. Furthermore, an over-citation of publications by male researchers was also found. Last, in one of the periods analysed, in the years between 1996-2010, gender homophily was found, i.e. female researchers tended to cite more women than men during this period.
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Global Total Number of 10% Top-Cited Scientific Publications in Computer Science Applications by Country, 2023 Discover more data with ReportLinker!
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TwitterThis dataset includes papers containing published research results on COVID-19. Each paper has its PubMed ID, DOI number, journal title, journal country, article title, authors, abstract, date of publication, and the number of citations until the date of update. It contains more than 150,000 articles in total. Newly added paper and citation numbers are updated monthly.
All articles with the word "COVID-19" published before September 2021 were included in the dataset. All data were collected using the PubMed API. Using multiple APIs, the data related to the articles were combined and made into a data set. The data set will be updated by adding new articles every month.
All data is in papers.csv file.
See LICENSE for details.
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Global Total Number of Scientific Publications in Biotechnology by Country, 2023 Discover more data with ReportLinker!
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TwitterExplore the World Competitiveness Ranking dataset for 2016, including key indicators such as GDP per capita, fixed telephone tariffs, and pension funding. Discover insights on social cohesion, scientific research, and digital transformation in various countries.
Social cohesion, The image abroad of your country encourages business development, Scientific articles published by origin of author, International Telecommunication Union, World Telecommunication/ICT Indicators database, Data reproduced with the kind permission of ITU, National sources, Fixed telephone tariffs, GDP (PPP) per capita, Overall, Exports of goods - growth, Pension funding is adequately addressed for the future, Companies are very good at using big data and analytics to support decision-making, Gross fixed capital formation - real growth, Economic Performance, Scientific research legislation, Percentage of GDP, Health infrastructure meets the needs of society, Estimates based on preliminary data for the most recent year., Singapore: including re-exports., Value, Laws relating to scientific research do encourage innovation, % of GDP, Gross Domestic Product (GDP), Health Infrastructure, Digital transformation in companies is generally well understood, Industrial disputes, EE, Female / male ratio, State ownership of enterprises, Total expenditure on R&D (%), Score, Colombia, Estimates for the most recent year., Percentage change, based on US$ values, Number of listed domestic companies, Tax evasion is not a threat to your economy, Scientific articles, Tax evasion, % change, Use of big data and analytics, National sources, Disposable Income, Equal opportunity, Listed domestic companies, Government budget surplus/deficit (%), Pension funding, US$ per capita at purchasing power parity, Estimates; US$ per capita at purchasing power parity, Image abroad or branding, Equal opportunity legislation in your economy encourages economic development, Number, Article counts are from a selection of journals, books, and conference proceedings in S&E from Scopus. Articles are classified by their year of publication and are assigned to a region/country/economy on the basis of the institutional address(es) listed in the article. Articles are credited on a fractional-count basis. The sum of the countries/economies may not add to the world total because of rounding. Some publications have incomplete address information for coauthored publications in the Scopus database. The unassigned category count is the sum of fractional counts for publications that cannot be assigned to a country or economy. Hong Kong: research output items by the higher education institutions funded by the University Grants Committee only., State ownership of enterprises is not a threat to business activities, Protectionism does not impair the conduct of your business, Digital transformation in companies, Total final energy consumption per capita, Social cohesion is high, Rank, MTOE per capita, Percentage change, based on constant prices, US$ billions, National sources, World Trade Organization Statistics database, Rank, Score, Value, World Rankings
Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Latvia, Lithuania, Luxembourg, Malaysia, Mexico, Mongolia, Netherlands, New Zealand, Norway, Oman, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Saudi Arabia, Singapore, Slovenia, South Africa, Spain, Sweden, Switzerland, Thailand, Turkey, Ukraine, United Kingdom, Venezuela
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Egypt EG: Scientific and Technical Journal Articles data was reported at 10,807.000 Unit in 2016. This records an increase from the previous number of 9,830.600 Unit for 2015. Egypt EG: Scientific and Technical Journal Articles data is updated yearly, averaging 6,385.350 Unit from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 10,807.000 Unit in 2016 and a record low of 3,296.100 Unit in 2003. Egypt EG: Scientific and Technical Journal Articles data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Technology. Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth and space sciences.; ; National Science Foundation, Science and Engineering Indicators.; Gap-filled total;
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TwitterBackgroundScience studies have been a field of research for different knowledge areas, and they have been successfully used to analyse the construction of scientific knowledge, practice and dissemination. In this study, we aimed to verify how the Zika epidemic has moulded the scientific articles published worldwide by analysing international collaborations and the knowledge landscape through time, as well as research topics and country involvement.MethodologyWe searched the Web of Science (WoS), Scopus and PubMed for studies published up to 31st December 2018 on Zika using the search terms “zika”, “zkv” or “zikv”. We analysed the scientific production regarding which countries have published the most, on which topics, as well as country level collaboration. We performed a scientometric analysis of research on Zika focusing on knowledge mapping and the scientific research path over time and space.FindingsWe found two well defined research areas divided into three subtopics accounting for six clusters. With regard to country analysis, the USA and Brazil were the countries with the highest numbers of publications on Zika. China entered as a new player focusing on specific research areas. When we took into consideration the epidemics and reported cases, Brazil and France were the leading research countries on related topics. As for international collaboration, the USA followed by England and France stand out as the main hubs. The research areas most published included public health-related topics from 2015 until the very beginning of 2016, followed by an increase in topics related to the clinical aspects of the disease in 2016 and the emergence of laboratory research in 2017/2018.ConclusionsMapping the response to Zika, a public health emergency, demonstrated a clear pattern of the participation of countries in the scientific advances. The pattern of knowledge production found in this study represented varying country perspectives, research capacity and interests based first on their level of exposure to the epidemic and second on their financial positions regarding science.
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TwitterAn Excel dataset for Sciamgo Journal and Country Rank data for Energy Engineering and Power Technology.
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The main objective of the Journal of Islam and Social Sciences is to provide an intellectual platform for national and international researchers to discuss their most recent findings related to the relationship of Islam and social sciences in Iran. By doing so, the journal hopes to improve the status of the field in Iran and in the world and to find solutions to theoretical and practical problems the profession is faced with. The wide range of issues related to the relationship between religion i.e. Islam and the social sciences requires that specialized scientific journals, and in the near future scientific researches, devote special attention to issues and problems raised in this regard. So the results of these researches will address the needs of the scientific community in the country. For this reason, the Department of Social Sciences of RIHU has been seeking publication of a journal titled "Islam and Social Sciences". Semi-annual journal of Islam and Social Sciences, in order to cooperate with other sections of Hawzah and University and to realize the above-mentioned goals and developing and deepening the literature in the field of relationships between Islam and social sciences and with the aim of providing scientific information, providing ground for dialogue and reflection of the opinions of scholars and creating a ground for the production of religious science and providing a suitable space for the further development and progress of the Islamic social sciences intends to examine the relations of religion, especially Islam and social sciences, in the form of publication of special issues. To serve this purpose, researchers are encouraged to submit their unpublished, original, full-length papers for potential publication in the journal.
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Global Total Number of Scientific Publications in Music by Country, 2023 Discover more data with ReportLinker!
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