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Title |
Patent Analytics
|
---|---|
Published by |
Springer Singapore, January 2021
|
DOI | 10.1007/978-981-16-2930-3 |
ISBNs |
978-9-81-162929-7, 978-9-81-162930-3
|
Authors |
Jieun Kim, Buyong Jeong, Daejung Kim, Kim, Jieun, Jeong, Buyong, Kim, Daejung |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Unspecified | 2 | 17% |
Student > Bachelor | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 17% |
Engineering | 2 | 17% |
Agricultural and Biological Sciences | 1 | 8% |
Business, Management and Accounting | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Other | 1 | 8% |
Unknown | 4 | 33% |