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1.3 million disease research papers with citation impact and gender information

Publikation: Bidrag der ikke har en tekstform › Datasæt › Forskning

Standard

1.3 million disease research papers with citation impact and gender information. Andersen, Jens Peter (Producent); Nielsen, Mathias Wullum (Producent); Schneider, Jesper Wiborg (Producent). 2019. Open Science Framework.

Publikation: Bidrag der ikke har en tekstform › Datasæt › Forskning

Harvard

Andersen, JP, Nielsen, MW & Schneider, JW, 1.3 million disease research papers with citation impact and gender information, 2019, Datasæt, Open Science Framework. https://doi.org/10.17605/OSF.IO/XGJTV

APA

Andersen, J. P. (Producent), Nielsen, M. W. (Producent), & Schneider, J. W. (Producent). (2019). 1.3 million disease research papers with citation impact and gender information. Datasæt, Open Science Framework. https://doi.org/10.17605/OSF.IO/XGJTV

CBE

Andersen JP, Nielsen MW, Schneider JW. 2019. 1.3 million disease research papers with citation impact and gender information. Open Science Framework. [Datasæt]. https://doi.org/10.17605/OSF.IO/XGJTV

MLA

Andersen, Jens Peter, Mathias Wullum Nielsen, og Jesper Wiborg Schneider, 1.3 million disease research papers with citation impact and gender information, Open Science Framework, Datasæt, 2019 https://doi.org/10.17605/OSF.IO/XGJTV

Vancouver

Andersen JP (Producent), Nielsen MW (Producent), Schneider JW (Producent). 1.3 million disease research papers with citation impact and gender information Open Science Framework. 2019. doi: 10.17605/OSF.IO/XGJTV

Author

Andersen, Jens Peter (Producent) ; Nielsen, Mathias Wullum (Producent) ; Schneider, Jesper Wiborg (Producent). / 1.3 million disease research papers with citation impact and gender information. [Datasæt].

Bibtex

@misc{5707a67878e94ee48a04bee24be589dc,
title = "1.3 million disease research papers with citation impact and gender information",
abstract = "The dataset provides information on the gender of first and last author, author composition, field and topic mean gender, as well as citation impact for 1.3 million papers indexed with the {"}Diseases Category{"} MeSH term.",
author = "Andersen, {Jens Peter} and Nielsen, {Mathias Wullum} and Schneider, {Jesper Wiborg}",
year = "2019",
doi = "10.17605/OSF.IO/XGJTV",
language = "English",
publisher = "Open Science Framework",

}

RIS

TY - DATA

T1 - 1.3 million disease research papers with citation impact and gender information

A2 - Andersen, Jens Peter

A2 - Nielsen, Mathias Wullum

A2 - Schneider, Jesper Wiborg

PY - 2019

Y1 - 2019

N2 - The dataset provides information on the gender of first and last author, author composition, field and topic mean gender, as well as citation impact for 1.3 million papers indexed with the "Diseases Category" MeSH term.

AB - The dataset provides information on the gender of first and last author, author composition, field and topic mean gender, as well as citation impact for 1.3 million papers indexed with the "Diseases Category" MeSH term.

U2 - 10.17605/OSF.IO/XGJTV

DO - 10.17605/OSF.IO/XGJTV

M3 - Dataset

PB - Open Science Framework

ER -