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Quantification of knowledge content of a high impact innovation: recombinant DNA
Quantitative analysis of knowledge content of a significant technological innovation is a novel approach to understand the scientific discovery process. Here we describe such an analysis applied to the invention of recombinant DNA technology in the early 1970's. Two focal papers are selected, i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728730/ https://www.ncbi.nlm.nih.gov/pubmed/31517081 http://dx.doi.org/10.1016/j.heliyon.2019.e02219 |
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author | Tseng, Hung Small, Henry |
author_facet | Tseng, Hung Small, Henry |
author_sort | Tseng, Hung |
collection | PubMed |
description | Quantitative analysis of knowledge content of a significant technological innovation is a novel approach to understand the scientific discovery process. Here we describe such an analysis applied to the invention of recombinant DNA technology in the early 1970's. Two focal papers are selected, i.e., Jackson et al., 1972 and Cohen et al., 1973. A knowledge framework called EApc is described to categorize knowledge types and their quantification. The focal papers, along with their reference lists, are used to determine the minimal scientific knowledge necessary for generating the notions central to each focal paper. Attempts are made to trace how each type of knowledge was generated by various research communities. The results are discussed in terms of their potential implications in measuring, evaluating, understanding and managing the scientific research process. |
format | Online Article Text |
id | pubmed-6728730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67287302019-09-12 Quantification of knowledge content of a high impact innovation: recombinant DNA Tseng, Hung Small, Henry Heliyon Article Quantitative analysis of knowledge content of a significant technological innovation is a novel approach to understand the scientific discovery process. Here we describe such an analysis applied to the invention of recombinant DNA technology in the early 1970's. Two focal papers are selected, i.e., Jackson et al., 1972 and Cohen et al., 1973. A knowledge framework called EApc is described to categorize knowledge types and their quantification. The focal papers, along with their reference lists, are used to determine the minimal scientific knowledge necessary for generating the notions central to each focal paper. Attempts are made to trace how each type of knowledge was generated by various research communities. The results are discussed in terms of their potential implications in measuring, evaluating, understanding and managing the scientific research process. Elsevier 2019-08-28 /pmc/articles/PMC6728730/ /pubmed/31517081 http://dx.doi.org/10.1016/j.heliyon.2019.e02219 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Tseng, Hung Small, Henry Quantification of knowledge content of a high impact innovation: recombinant DNA |
title | Quantification of knowledge content of a high impact innovation: recombinant DNA |
title_full | Quantification of knowledge content of a high impact innovation: recombinant DNA |
title_fullStr | Quantification of knowledge content of a high impact innovation: recombinant DNA |
title_full_unstemmed | Quantification of knowledge content of a high impact innovation: recombinant DNA |
title_short | Quantification of knowledge content of a high impact innovation: recombinant DNA |
title_sort | quantification of knowledge content of a high impact innovation: recombinant dna |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728730/ https://www.ncbi.nlm.nih.gov/pubmed/31517081 http://dx.doi.org/10.1016/j.heliyon.2019.e02219 |
work_keys_str_mv | AT tsenghung quantificationofknowledgecontentofahighimpactinnovationrecombinantdna AT smallhenry quantificationofknowledgecontentofahighimpactinnovationrecombinantdna |