Stem cells patents: main features and citation analysis
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.19132/1808-5245262.1-57 http://hdl.handle.net/11449/195333 |
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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Stem cells patents: main features and citation analysisPatentsStem cellsPatentometricsCitation AnalysisThis 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.Univ Estadual Paulista, Marilia, SP, BrazilUniv Fed Rio Grande do Sul, Porto Alegre, RS, BrazilUniv Estadual Paulista, Marilia, SP, BrazilUniv Federal Rio Grande Sul, Fac Biblioteconomia & ComunicacaoUniversidade Estadual Paulista (Unesp)Univ Fed Rio Grande do SulBochi, Fernanda [UNESP]Mielniczuk Moura, Ana Maria2020-12-10T17:30:59Z2020-12-10T17:30:59Z2020-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article32-57http://dx.doi.org/10.19132/1808-5245262.1-57Em Questao. Porto Alegre: Univ Federal Rio Grande Sul, Fac Biblioteconomia & Comunicacao, v. 26, n. 2, p. 32-57, 2020.1807-8893http://hdl.handle.net/11449/19533310.19132/1808-5245262.1-57WOS:000528482900003Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporEm Questaoinfo:eu-repo/semantics/openAccess2021-10-23T07:53:09Zoai:repositorio.unesp.br:11449/195333Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:55:20.664826Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Stem cells patents: main features and citation analysis |
title |
Stem cells patents: main features and citation analysis |
spellingShingle |
Stem cells patents: main features and citation analysis Bochi, Fernanda [UNESP] Patents Stem cells Patentometrics Citation Analysis |
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 [UNESP] |
author_facet |
Bochi, Fernanda [UNESP] Mielniczuk Moura, Ana Maria |
author_role |
author |
author2 |
Mielniczuk Moura, Ana Maria |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Fed Rio Grande do Sul |
dc.contributor.author.fl_str_mv |
Bochi, Fernanda [UNESP] Mielniczuk Moura, Ana Maria |
dc.subject.por.fl_str_mv |
Patents Stem cells Patentometrics Citation Analysis |
topic |
Patents Stem cells Patentometrics Citation Analysis |
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 |
2020-12-10T17:30:59Z 2020-12-10T17:30:59Z 2020-05-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.19132/1808-5245262.1-57 Em Questao. Porto Alegre: Univ Federal Rio Grande Sul, Fac Biblioteconomia & Comunicacao, v. 26, n. 2, p. 32-57, 2020. 1807-8893 http://hdl.handle.net/11449/195333 10.19132/1808-5245262.1-57 WOS:000528482900003 |
url |
http://dx.doi.org/10.19132/1808-5245262.1-57 http://hdl.handle.net/11449/195333 |
identifier_str_mv |
Em Questao. Porto Alegre: Univ Federal Rio Grande Sul, Fac Biblioteconomia & Comunicacao, v. 26, n. 2, p. 32-57, 2020. 1807-8893 10.19132/1808-5245262.1-57 WOS:000528482900003 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Em Questao |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
32-57 |
dc.publisher.none.fl_str_mv |
Univ Federal Rio Grande Sul, Fac Biblioteconomia & Comunicacao |
publisher.none.fl_str_mv |
Univ Federal Rio Grande Sul, Fac Biblioteconomia & Comunicacao |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129139435110400 |