The data sharing advantage in astrophysics

AbstractWe present here evidence for the existence of a citation advantage within astrophysics for papers that link to data. Using simple measures based on publication data from NASA Astrophysics Data System we find a citation advantage for papers with links to data receiving on the average significantly more citations per paper than papers without links to data. Furthermore, using INSPEC and Web of Science databases we investigate whether either papers of an experimental or theoretical nature display different citation behavior.

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Evaluation of research publications and publication channels in astronomy and astrophysics

EPJ Web of Conferences ◽

10.1051/epjconf/201818606002 ◽

2018 ◽

Vol 186 ◽

pp. 06002

Author(s):

Eva Isaksson ◽

Henrik Vesterinen

Keyword(s):

Classification System ◽

Web Of Science ◽

National Level ◽

Data System ◽

Commercial Products ◽

System A ◽

Ranking Systems ◽

Astrophysics Data System ◽

Near Future ◽

Astronomy And Astrophysics

The astronomy community usually turns to the Astrophysics Data System for bibliometrics. When the context is cross-disciplinary, commercial products like Web of Science and Scopus are used along with related analytics tools instead. The results are often tainted by inherent problems in the chosen classification system. A review of the most common challenges and pitfalls is given. Commercial altmetrics products could be added to the evaluation toolbox in the near future despite the fact that they are best suited for promotion instead of evaluation. Norway, Denmark, and Finland have created journal and publisher ranking systems that are used in national funding models. Differences in how astronomy journals are weighed in these systems night be related to the volume of papers published on a national level.

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A Comparison of the Citation Counts in the Science Citation Index and the Nasa Astrophysics Data System

Organizations and Strategies in Astronomy Volume 6 ◽

10.1007/1-4020-4056-3_13 ◽

2006 ◽

pp. 169-174 ◽

Cited By ~ 1

Author(s):

Helmut A. Abt

Keyword(s):

Science Citation Index ◽

Citation Index ◽

Science Citation ◽

Data System ◽

Citation Counts ◽

Astrophysics Data System

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Evaluation of Research Trends in Knowledge Management: A Hybrid Analysis through Burst Detection and Text Clustering

Journal of Information & Knowledge Management ◽

10.1142/s0219649219500436 ◽

2019 ◽

Vol 18 (04) ◽

pp. 1950043 ◽

Cited By ~ 2

Author(s):

Babak Sohrabi ◽

Iman Raeesi Vanani ◽

Seyed Mohammad Jafar Jalali ◽

Ehsan Abedin

Keyword(s):

Knowledge Management ◽

Web Of Science ◽

Research Priorities ◽

Text Clustering ◽

Journal Articles ◽

Hybrid Analysis ◽

Burst Detection ◽

Publication Data ◽

History Of ◽

Research Domain

This paper aims to analyze the content of validated journal articles related to Knowledge Management (KM) in more than 18,000 papers of the Web of Science (WoS) database and then provide the most recent specific trends in KM field using text mining and burst detection to help researchers invest in the most challenging and fruitful areas of KM research domain. The method for finding the recent trend of KM includes the following steps: Conducting searches and collecting the publication data from WoS; using a hybrid analysis through burst detection and text clustering; also enriching and analyzing the results in order to achieve an overall perspective about the KM position and the popularity among researchers. This study could be valuable for researchers and KM specialists as well as managers as they may study the history of a subject by getting the structure of its scientific productions, so as to purposefully plan and determine the research priorities in KM.

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Vantagens de citação do acesso aberto em periódicos selecionados da Ciência da Informação: uma análise ampliada aos indicadores altmétricos

Informação & Informação ◽

10.5433/1981-8920.2017v22n1p129 ◽

2017 ◽

Vol 22 (1) ◽

pp. 129 ◽

Cited By ~ 1

Author(s):

Paulo Roberto Cintra ◽

Ariadne Chloe Furnival ◽

Douglas Henrique Milanez

Keyword(s):

Open Access ◽

Information Science ◽

Web Of Science ◽

American Society ◽

Web Social ◽

Citation Advantage

Introdução: O acesso aberto diz respeito à literatura científica disponibilizada a qualquer usuário sem custos e livre das restrições de copyright e de licenciamento para seu reuso. Espera-se, de acordo com a hipótese do Open Access Citation Advantage, um aumento no número total de citações recebidas pelo artigos disponibilizados em acesso aberto com relação àqueles em acesso restrito.Objetivo: Analisar as possíveis vantagens de citações e menções na web social que o acesso aberto pode oferecer à área da Ciência da Informação.Metodologia: Foram analisados indicadores altmétricos e bibliométricos de citação de dois periódicos científicos: Journal of the American Society for Information Science e Scientometrics. A coleta dos dados foi realizada na Web of Science, Google Acadêmico, Altmetric.com e Mendeley.Resultados: Os resultados indicaram que o acesso aberto oferece vantagem quanto ao número de citações e de menções na web social recebidas pelos artigos em ambos as revistas. Verificou-se também que essa vantagem se mantém ao longo dos anos.Conclusões: A investigação confirma a hipótese do Open Access Citation Advantage para os periódicos selecionados da área da Ciência da Informação e demonstra que essa vantagem se estende aos dados altmétricos.

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