The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience

Yashuang Qi, Na Zhu, Yujia Zhai () and Ying Ding
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Yashuang Qi: Nankai University
Na Zhu: Nankai University
Yujia Zhai: Tianjin Normal University
Ying Ding: Indiana University

Scientometrics, 2018, vol. 115, issue 2, No 13, 893-911

Abstract: Abstract Patent and scientific literature are the fundamental sources of innovation in knowledge creation and transfer activities. Establishing and understanding the complex relationships between them can help scientists and stakeholders to predict and promote the innovation process. In this paper, we consider the domain of nanoscience, using a large scale collection of patents and scientific literature to find evolution patterns and distinctive keywords of each topic in a particular period. By extracting the semantic-level topics from a dataset of nearly 810,000 scientific literature from Web of Science and 160,000 patents from Derwent, the results reveal that the degree of topic popularity for both innovative platforms shows a totally different situation during the last 20 years from 1995 to 2015. In addition, the top keywords of patents and scientific literature, representing the topic content of concern, have changed respectively as time went on. Not only our analysis can be used for confirming existing topics in nanoscience, but it also gives new views on the relationship between scientific literature and patents.

Keywords: Nanoscience; Lead–lag analysis; Patent; Scientific literature; 68T10 (search for similar items in EconPapers)
JEL-codes: D83 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (10)

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DOI: 10.1007/s11192-018-2693-y

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