Tech mining to validate and refine a technology roadmap

Lahoti, Geet; Porter, Alan L.; Chuck, Zhang; Youtie, Jan; Wang, Ben

doi:10.1016/j.wpi.2018.07.003

Cited by 15 publications

(8 citation statements)

References 61 publications

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“…The software PatentSight used in the present study [2][3][4] is one of several tools on the market, which combine enhanced patent databases with an advanced quality analysis software [9][10][11]13]. Such tools are useful for investigating large sets of patent documents in order to assess and compare different patent portfolios, or to screen for trends and relationships [5][6][7][14][15][16][17][18][19][20].…”

Section: Discussionmentioning

confidence: 99%

International Collaboration Generates High Quality Clusters of Pharmaceutical Patents

2019

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The worldwide active patent portfolio has nearly doubled in numbers and strength since 2000. The number of active pharmaceutical patent families has tripled in the same time period. The quantitative growth results mostly from a surge of patents from China, half of them classified in A61K36 (‘medicinal preparations of undetermined constitution containing material from algae, lichens, fungi or plants’). High-quality patents exhibit a slower growth curve, and cluster within the three areas biologicals; heterocyclic compounds, and cancer drugs. However, the highest concentration of high-quality patents was found when selecting patents listing inventors from at least two out of the five most important countries of origin for pharmaceutical patents: China, EP countries, Japan, South Korea and the USA.

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Section: Discussionmentioning

confidence: 99%

International Collaboration Generates High Quality Clusters of Pharmaceutical Patents

2019

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“…ST&I databases are progressively being considered in seeking newly emerging science & technology (NEST) innovation aspects for decision makers in R&D projects [ 47 , 95 ]. Therefore, quantitative approaches in line with text-mining techniques converge to retrieve functional information from ST&I documents using a tech-mining approach [ 47 , 96 , 97 ].…”

Section: Data Extraction and Analysismentioning

confidence: 99%

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Ghane,

Ang,

Cavallucci

et al. 2024

Heliyon

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“…The result is shown in Appendix 1, which illustrates 40 nodes or clusters, each of which represents a principal component or set of terms that tend to appear together. The node sizes denote relative numbers of records, and the linkage lines represent the degree of relationship among nodes based on a Path-Erasing algorithm [70]. Heavier lines indicate stronger relationships, whereas dashed lines indicate weaker relationships, and if the degree of relationship is below the threshold limit, the linkage line is not shown.…”

Section: Analysis Of Research Themesmentioning

confidence: 99%

Collaboration Network and Trends of Global Coronavirus Disease Research: A Scientometric Analysis

et al. 2021

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As a global pandemic threatens health and livelihoods, finding effective treatments has become a vital issue that requires worldwide collaboration. This study examines research collaboration and network profiles through a case study of coronavirus diseases, including both the extinct severe acute respiratory syndrome coronavirus (SARS-CoV) and the emerging species (SARS-CoV-2). A scientometric process was designed to apply quantitative tools and a qualitative approach employing technological expertise to accomplish a three-level collaboration analysis. The text mining software, VantagePoint, was used to analyze research articles from the Web of Science database to identify the key national, organizational, and individual players in the coronavirus research field combined with indicators, namely, the breadth and depth of collaboration. The results show that China and the United States are at the center of coronavirus research networks at all three levels, including many endeavors involving single or joint entities. This study demonstrates how governments, public sectors, and private sectors, such as the pharmaceutical industry, can use scientometric analysis to gain insight into the holistic research trends and networks of players in this field, leading to the formulation of strategies to strengthen research and development programs. Furthermore, this approach can be utilized as a visualization and decision support tool for further policy planning, identification and execution of collaboration, and research exchange opportunities. This scientometric process should be directly applicable to other fields.INDEX TERMS bibliometrics, scientometrics, network analysis, research collaboration, coronavirus.

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Tech mining to validate and refine a technology roadmap

Cited by 15 publications

References 61 publications

International Collaboration Generates High Quality Clusters of Pharmaceutical Patents

International Collaboration Generates High Quality Clusters of Pharmaceutical Patents

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Collaboration Network and Trends of Global Coronavirus Disease Research: A Scientometric Analysis

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