Entitymetrics: measuring the impact of entities.

This paper proposes entitymetrics to measure the impact of knowledge units. Entitymetrics highlight the importance of entities embedded in scientific literature for further knowledge discovery. In this paper, we use Metformin, a drug for diabetes, as an example to form an entity-entity citation netw...

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Detalles Bibliográficos
Autores principales:	Ying Ding, Min Song, Jia Han, Qi Yu, Erjia Yan, Lili Lin, Tamy Chambers
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dabc2dcad77049c380317f43b2fcbb7a
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id	oai:doaj.org-article:dabc2dcad77049c380317f43b2fcbb7a
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spelling	oai:doaj.org-article:dabc2dcad77049c380317f43b2fcbb7a2021-11-18T08:57:47ZEntitymetrics: measuring the impact of entities.1932-620310.1371/journal.pone.0071416https://doaj.org/article/dabc2dcad77049c380317f43b2fcbb7a2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24009660/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203This paper proposes entitymetrics to measure the impact of knowledge units. Entitymetrics highlight the importance of entities embedded in scientific literature for further knowledge discovery. In this paper, we use Metformin, a drug for diabetes, as an example to form an entity-entity citation network based on literature related to Metformin. We then calculate the network features and compare the centrality ranks of biological entities with results from Comparative Toxicogenomics Database (CTD). The comparison demonstrates the usefulness of entitymetrics to detect most of the outstanding interactions manually curated in CTD.Ying DingMin SongJia HanQi YuErjia YanLili LinTamy ChambersPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 8, p e71416 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ying Ding Min Song Jia Han Qi Yu Erjia Yan Lili Lin Tamy Chambers Entitymetrics: measuring the impact of entities.
description	This paper proposes entitymetrics to measure the impact of knowledge units. Entitymetrics highlight the importance of entities embedded in scientific literature for further knowledge discovery. In this paper, we use Metformin, a drug for diabetes, as an example to form an entity-entity citation network based on literature related to Metformin. We then calculate the network features and compare the centrality ranks of biological entities with results from Comparative Toxicogenomics Database (CTD). The comparison demonstrates the usefulness of entitymetrics to detect most of the outstanding interactions manually curated in CTD.
format	article
author	Ying Ding Min Song Jia Han Qi Yu Erjia Yan Lili Lin Tamy Chambers
author_facet	Ying Ding Min Song Jia Han Qi Yu Erjia Yan Lili Lin Tamy Chambers
author_sort	Ying Ding
title	Entitymetrics: measuring the impact of entities.
title_short	Entitymetrics: measuring the impact of entities.
title_full	Entitymetrics: measuring the impact of entities.
title_fullStr	Entitymetrics: measuring the impact of entities.
title_full_unstemmed	Entitymetrics: measuring the impact of entities.
title_sort	entitymetrics: measuring the impact of entities.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/dabc2dcad77049c380317f43b2fcbb7a
work_keys_str_mv	AT yingding entitymetricsmeasuringtheimpactofentities AT minsong entitymetricsmeasuringtheimpactofentities AT jiahan entitymetricsmeasuringtheimpactofentities AT qiyu entitymetricsmeasuringtheimpactofentities AT erjiayan entitymetricsmeasuringtheimpactofentities AT lililin entitymetricsmeasuringtheimpactofentities AT tamychambers entitymetricsmeasuringtheimpactofentities
_version_	1718421113212502016

Entitymetrics: measuring the impact of entities.

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