Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices

The dataset is about innovation dynamics in the pharmaceutical industry in China. Innovation dynamics is interpreted as knowledge transfer across technologies and through time (velocity). The dataset provides access to 143,916 Jaccard similarity indices. A Jaccard similarity indice is a distance mea...

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Autores principales: Vorreuther, Charlotte Marie, Warin, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900008/
https://www.ncbi.nlm.nih.gov/pubmed/33665244
http://dx.doi.org/10.1016/j.dib.2021.106814
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author Vorreuther, Charlotte Marie
Warin, Thierry
author_facet Vorreuther, Charlotte Marie
Warin, Thierry
author_sort Vorreuther, Charlotte Marie
collection PubMed
description The dataset is about innovation dynamics in the pharmaceutical industry in China. Innovation dynamics is interpreted as knowledge transfer across technologies and through time (velocity). The dataset provides access to 143,916 Jaccard similarity indices. A Jaccard similarity indice is a distance measure between two units. Here, they proxy relatedness across technologies (classes) and through time (velocity). The Jaccard similarity indices are computed based on a Natural Language Processing treatment of 69,923 patents in the pharmaceutical industry in China from 1990 to 2017.
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spelling pubmed-79000082021-03-03 Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices Vorreuther, Charlotte Marie Warin, Thierry Data Brief Data Article The dataset is about innovation dynamics in the pharmaceutical industry in China. Innovation dynamics is interpreted as knowledge transfer across technologies and through time (velocity). The dataset provides access to 143,916 Jaccard similarity indices. A Jaccard similarity indice is a distance measure between two units. Here, they proxy relatedness across technologies (classes) and through time (velocity). The Jaccard similarity indices are computed based on a Natural Language Processing treatment of 69,923 patents in the pharmaceutical industry in China from 1990 to 2017. Elsevier 2021-02-04 /pmc/articles/PMC7900008/ /pubmed/33665244 http://dx.doi.org/10.1016/j.dib.2021.106814 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Vorreuther, Charlotte Marie
Warin, Thierry
Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices
title Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices
title_full Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices
title_fullStr Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices
title_full_unstemmed Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices
title_short Patent relatedness and velocity in the Chinese pharmaceutical industry: A dataset of Jaccard similarity indices
title_sort patent relatedness and velocity in the chinese pharmaceutical industry: a dataset of jaccard similarity indices
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900008/
https://www.ncbi.nlm.nih.gov/pubmed/33665244
http://dx.doi.org/10.1016/j.dib.2021.106814
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