You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
|
---|---|
Published in |
BMC Bioinformatics, April 2010
|
DOI | 10.1186/1471-2105-11-174 |
Pubmed ID | |
Authors |
Jun-Feng Xia, Xing-Ming Zhao, Jiangning Song, De-Shuang Huang |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 4% |
United States | 2 | 3% |
Germany | 1 | 1% |
Czechia | 1 | 1% |
Korea, Republic of | 1 | 1% |
Australia | 1 | 1% |
Serbia | 1 | 1% |
Unknown | 70 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 30% |
Student > Ph. D. Student | 23 | 29% |
Student > Master | 8 | 10% |
Student > Bachelor | 4 | 5% |
Student > Doctoral Student | 4 | 5% |
Other | 10 | 13% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 34% |
Biochemistry, Genetics and Molecular Biology | 14 | 18% |
Chemistry | 11 | 14% |
Computer Science | 9 | 11% |
Medicine and Dentistry | 4 | 5% |
Other | 7 | 9% |
Unknown | 8 | 10% |