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X Demographics
Mendeley readers
Title |
Computational Methods in Protein Evolution
|
---|---|
Published by |
Springer New York, January 2019
|
DOI | 10.1007/978-1-4939-8736-8 |
ISBNs |
978-1-4939-8735-1, 978-1-4939-8736-8
|
Editors |
Tobias Sikosek |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 4 | 21% |
United States | 2 | 11% |
Spain | 1 | 5% |
Colombia | 1 | 5% |
France | 1 | 5% |
Italy | 1 | 5% |
Germany | 1 | 5% |
Unknown | 8 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 53% |
Members of the public | 9 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 127 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 21% |
Researcher | 25 | 20% |
Student > Master | 18 | 14% |
Student > Bachelor | 11 | 9% |
Student > Doctoral Student | 8 | 6% |
Other | 14 | 11% |
Unknown | 24 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 49 | 39% |
Agricultural and Biological Sciences | 19 | 15% |
Chemistry | 7 | 6% |
Engineering | 6 | 5% |
Chemical Engineering | 5 | 4% |
Other | 12 | 9% |
Unknown | 29 | 23% |