Source: Transinformação, Volume: 33, Article number: e200071, Published: 04 JUN 2021Transinformação; Vol. 33 (2021)Transinformação; v. 33 (2021)TransinformaçãoPontifícia

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Impact of the Protein Data Bank Across Scientific Disciplines

Authors : John D. Westbrook; Zukang Feng; Natalie Verdiguel

Subjects: Open science; 010504 meteorology & atmospheric sciences; Download

Source: Data Science Journal, Vol 19, Iss 1 (2020)Data Science Journal; Vol 19 (2020); 25

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Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the Figshare case

Authors : Juliana Elisa Raffaghelli; Alfonso Quarati;

Subjects: Computer science; metadata quality; calidad de los metadatos

Source: O2, repositorio institucional de la UOCUniversitat Oberta de Catalunya (UOC)Journal of information science (2020): 1–26. doi:10.1177/0165551520961048

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Journals' instructions to authors: A cross-sectional study across scientific disciplines

Authors : IJsbrand Jan Aalbersberg; Mario Malički; Lex M. Bouter ...

Subjects: Research Report; SDG 16 - Peace; Biomedical Research

Source: PLoS ONE, 14(9):e0222157. Public Library of SciencePLoS ONEPLOS ONE, 14(9):e0222157. Public Library of ScienceMalički, M, Aalbersberg, I J J, Bouter, L & Riet, G T 2019, '

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Insights Into University Knowledge Transfer in the Social Sciences and Humanities (SSH) and Other Scientific Disciplines – More Similarities Than Differences

Authors : Markus C. Hayden; Martin Weiß; Alice Pechriggl

Subjects: Academic career; 05 social sciences; Public policy

Source: Frontiers in Research Metrics and Analytics, Vol 3 (2018)

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Google Scholar and Web of Science: Examining gender differences in citation coverage across five scientific disciplines

Authors : Jens Peter Andersen; Mathias Wullum Nielsen

Subjects: Web of science; Concordance; 05 social sciences

Source: Andersen, J P & Nielsen, M W 2018, ' Google Scholar and Web of Science: Examining gender differences in citation coverage across five scientific

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Using text analysis to quantify the similarity and evolution of scientific disciplines

Authors : Joachim Scharloth; Martin Gerlach; Laércio Dias

Subjects: FOS: Computer and information sciences; Physics - Physics and Society; FOS: Physical sciences

Source: Royal Society Open ScienceRoyal Society Open Science, Vol 5, Iss 1 (2018)

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فلترة النتائج

Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines

Information Science Under the Conditions Created by the New Classification of Fields and Scientific Disciplines: Opening a Balance Sheet

Book Studies Communication in Selected Communication Systems and Their Influence on the Location of the Discipline in the Current Obligatory Classification of Fields and Scientific Disciplines – an Outline of the Research Problem

Limits of international databases bibliometric indicators to evaluate the Brazilian Graduate Programs: Web of Science coverage on different scientific disciplines

Impact of the Protein Data Bank Across Scientific Disciplines

Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the Figshare case

Journals' instructions to authors: A cross-sectional study across scientific disciplines

Insights Into University Knowledge Transfer in the Social Sciences and Humanities (SSH) and Other Scientific Disciplines – More Similarities Than Differences

Google Scholar and Web of Science: Examining gender differences in citation coverage across five scientific disciplines

Using text analysis to quantify the similarity and evolution of scientific disciplines

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