Chapter title |
Uncovering Innovation Features and Emerging Technologies in Molecular Biology through Patent Analysis
|
---|---|
Chapter number | 2 |
Book title |
Recombinant Glycoprotein Production
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7312-5_2 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7311-8, 978-1-4939-7312-5
|
Authors |
Cristiano Gonçalves Pereira, Geciane Silveira Porto |
Abstract |
Scientific research at universities has a crucial role in leveraging a country's innovative potential. Sectors that require greater investments in technology for the development of their research, such as biotechnology, need to be aware of the frontier state-of-the-art technology and the knowledge incrusted within it. Although the information available in scientific articles is well explored in academic environment, the patent literature, where much of the technological information is present, is still poorly accessed. This chapter is intended to instruct students and researchers at universities to look at patent document analysis as a source of scientific and technological information and explore its applications. Within this chapter, we use the technological area regarding immunoglobulins inventions (monoclonal and polyclonal antibodies) as example to provide directions on how to develop a patent landscape to get an overview of the inventions in a certain field; how to map a collaborative network of inventors/assignees to help the pursuit and identification of future partnerships; and lastly we describe the steps of how to set up a network of patent citations with the aim of forecasting emerging technologies. We strongly believe that incorporate data from patents in planning phase of research projects at academia, as well as to establish partnerships and join R&D efforts to invest on promising technologies, is of great relevance to leverage the growth of the biotechnology sector. |
X Demographics
Geographical breakdown
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Brazil | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 4 | 15% |
Student > Bachelor | 4 | 15% |
Lecturer | 2 | 8% |
Student > Master | 2 | 8% |
Researcher | 2 | 8% |
Other | 6 | 23% |
Unknown | 6 | 23% |
Readers by discipline | Count | As % |
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Business, Management and Accounting | 8 | 31% |
Engineering | 4 | 15% |
Agricultural and Biological Sciences | 3 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 8% |
Unknown | 6 | 23% |