Stem cells patents: main features and citation analysis

Detalhes bibliográficos
Autor(a) principal: Bochi, Fernanda
Data de Publicação: 2020
Outros Autores: Moura, Ana Maria Mielniczuk
Tipo de documento: Artigo
Idioma: por
Título da fonte: Em Questão (Online)
Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/92187
Resumo: This is a quantitative, patentometric, descriptive study that makes use of production and citation indicators to achieve specific purposes. Based on Price’s square root law, the 181 most cited patents in the area of stem cells were the object of this study. After the collection of patents, information was extracted so that it could meet specific objectives, such as priority number, international patent classification, non-patent citation, and patent citation. It has been found that 80% of patents are from US-based companies; 6.7% are based in Japan; 3.6% in England, about 2% in France and Switzerland; 1.2% in Denmark and Ireland, and the others (3.3%) are distributed among companies in the Netherlands, Austria, Germany, China and Canada. Regarding the International Patent Classification (IPC), the patents of this research were classified into 5 sections, of which the area of human needs outstanded with 52.51%. The 181 patents found performed a total of 6,970 citations to other patents, of which 84 were the most cited. The patents that received the highest number of citations were US5486359-A and US6200806-B1, with 40 occurrences (0.26%), both filed in the US office. A hundred forty one out of the 181 patents cited non-patent documents (CR field). It was observed that, based on what could be identified, most citations of non-patent documents are citations of scientific journals (1,426), totaling 7,701 articles cited (± 5.5 articles/journal). Patent documents contain important information for understanding the development of science and technology. It is concluded that patents are important sources to be analyzed and that more detailed studies of what is cited in patents should be carried out.
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spelling Stem cells patents: main features and citation analysisPatentes em células-tronco: suas principais características e análise de citaçãoPatentsStem cellsPatentometricsCitation Analysis.PatentesPatentometriaCélulas-troncoAnálise de Citação.This is a quantitative, patentometric, descriptive study that makes use of production and citation indicators to achieve specific purposes. Based on Price’s square root law, the 181 most cited patents in the area of stem cells were the object of this study. After the collection of patents, information was extracted so that it could meet specific objectives, such as priority number, international patent classification, non-patent citation, and patent citation. It has been found that 80% of patents are from US-based companies; 6.7% are based in Japan; 3.6% in England, about 2% in France and Switzerland; 1.2% in Denmark and Ireland, and the others (3.3%) are distributed among companies in the Netherlands, Austria, Germany, China and Canada. Regarding the International Patent Classification (IPC), the patents of this research were classified into 5 sections, of which the area of human needs outstanded with 52.51%. The 181 patents found performed a total of 6,970 citations to other patents, of which 84 were the most cited. The patents that received the highest number of citations were US5486359-A and US6200806-B1, with 40 occurrences (0.26%), both filed in the US office. A hundred forty one out of the 181 patents cited non-patent documents (CR field). It was observed that, based on what could be identified, most citations of non-patent documents are citations of scientific journals (1,426), totaling 7,701 articles cited (± 5.5 articles/journal). Patent documents contain important information for understanding the development of science and technology. It is concluded that patents are important sources to be analyzed and that more detailed studies of what is cited in patents should be carried out.Estudo patentométrico e análise de citação dos documentos de patentes em células-tronco indexados na base de dados Derwent Innovation Index. A partir da Lei do Elitismo, fizeram parte deste estudo as 181 patentes mais citadas na temática estudada. Após a coleta dos dados, realizou-se a extração das informações que atendessem aos objetivos específicos, tais como os campos número prioritário, classificação internacional de patentes, citação a não patentes e citação a patentes. 80% das patentes são de empresas com sede nos Estados Unidos da América; 6,7%, no Japão; 3,6%, na Inglaterra; aproximadamente 2%, entre França e Suíça; 1,2%, na Dinamarca e Irlanda e as demais empresas (3,3%) estão distribuídas entre Holanda, Áustria, Alemanha, China e Canadá. As patentes foram classificadas em cinco seções da Classificação Internacional de Patentes, sendo a área de Necessidades Humanas a que mais se destacou, com 52,51%. As 181 patentes fizeram ao todo 6970 citações a outras patentes, destas, 84 foram mais citadas. As patentes que receberam o maior número de citações foram US5486359-A e US6200806-B1, ambas depositadas no escritório norte-americano. Das 181 patentes, 141 fizeram citação a documentos não patentes. Observou-se que os documentos não patentes mais citados foram as revistas científicas (1426 revistas diferentes citadas), totalizando 7701 artigos citados (±5,5 artigos/revista). Os documentos de patentes contêm muitas informações importantes para a compreensão do desenvolvimento da ciência e da tecnologia. Conclui-se que as patentes são fontes que é importante analisar e que estudos mais detalhados sobre citação e os motivos para citar em patentes devem ser realizados.Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)2020-04-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por Paresapplication/pdfhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/9218710.19132/1808-5245262.32-57Em Questão; v. 26, n. 2, maio/ago. 2020; 32-57Em Questão; v. 26, n. 2, maio/ago. 2020; 32-57Em Questão; v. 26, n. 2, maio/ago. 2020; 32-571808-52451807-8893reponame:Em Questão (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/92187/56321Copyright (c) 2020 Fernanda Bochi, Ana Maria Mielniczuk Mourahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBochi, FernandaMoura, Ana Maria Mielniczuk2024-03-27T14:53:28Zoai:seer.ufrgs.br:article/92187Revistahttps://seer.ufrgs.br/emquestao/PUBhttps://seer.ufrgs.br/EmQuestao/oaiemquestao@ufrgs.br||emquestao@ufrgs.br1808-52451807-8893opendoar:2024-03-27T14:53:28Em Questão (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.none.fl_str_mv Stem cells patents: main features and citation analysis
Patentes em células-tronco: suas principais características e análise de citação
title Stem cells patents: main features and citation analysis
spellingShingle Stem cells patents: main features and citation analysis
Bochi, Fernanda
Patents
Stem cells
Patentometrics
Citation Analysis.
Patentes
Patentometria
Células-tronco
Análise de Citação.
title_short Stem cells patents: main features and citation analysis
title_full Stem cells patents: main features and citation analysis
title_fullStr Stem cells patents: main features and citation analysis
title_full_unstemmed Stem cells patents: main features and citation analysis
title_sort Stem cells patents: main features and citation analysis
author Bochi, Fernanda
author_facet Bochi, Fernanda
Moura, Ana Maria Mielniczuk
author_role author
author2 Moura, Ana Maria Mielniczuk
author2_role author
dc.contributor.author.fl_str_mv Bochi, Fernanda
Moura, Ana Maria Mielniczuk
dc.subject.por.fl_str_mv Patents
Stem cells
Patentometrics
Citation Analysis.
Patentes
Patentometria
Células-tronco
Análise de Citação.
topic Patents
Stem cells
Patentometrics
Citation Analysis.
Patentes
Patentometria
Células-tronco
Análise de Citação.
description This is a quantitative, patentometric, descriptive study that makes use of production and citation indicators to achieve specific purposes. Based on Price’s square root law, the 181 most cited patents in the area of stem cells were the object of this study. After the collection of patents, information was extracted so that it could meet specific objectives, such as priority number, international patent classification, non-patent citation, and patent citation. It has been found that 80% of patents are from US-based companies; 6.7% are based in Japan; 3.6% in England, about 2% in France and Switzerland; 1.2% in Denmark and Ireland, and the others (3.3%) are distributed among companies in the Netherlands, Austria, Germany, China and Canada. Regarding the International Patent Classification (IPC), the patents of this research were classified into 5 sections, of which the area of human needs outstanded with 52.51%. The 181 patents found performed a total of 6,970 citations to other patents, of which 84 were the most cited. The patents that received the highest number of citations were US5486359-A and US6200806-B1, with 40 occurrences (0.26%), both filed in the US office. A hundred forty one out of the 181 patents cited non-patent documents (CR field). It was observed that, based on what could be identified, most citations of non-patent documents are citations of scientific journals (1,426), totaling 7,701 articles cited (± 5.5 articles/journal). Patent documents contain important information for understanding the development of science and technology. It is concluded that patents are important sources to be analyzed and that more detailed studies of what is cited in patents should be carried out.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv https://seer.ufrgs.br/index.php/EmQuestao/article/view/92187
10.19132/1808-5245262.32-57
url https://seer.ufrgs.br/index.php/EmQuestao/article/view/92187
identifier_str_mv 10.19132/1808-5245262.32-57
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://seer.ufrgs.br/index.php/EmQuestao/article/view/92187/56321
dc.rights.driver.fl_str_mv Copyright (c) 2020 Fernanda Bochi, Ana Maria Mielniczuk Moura
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Fernanda Bochi, Ana Maria Mielniczuk Moura
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)
publisher.none.fl_str_mv Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)
dc.source.none.fl_str_mv Em Questão; v. 26, n. 2, maio/ago. 2020; 32-57
Em Questão; v. 26, n. 2, maio/ago. 2020; 32-57
Em Questão; v. 26, n. 2, maio/ago. 2020; 32-57
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