| Title |
Networks of High Mutual Information Define the Structural Proximity of Catalytic Sites: Implications for Catalytic Residue Identification
|
|---|---|
| Published in |
PLoS Computational Biology, November 2010
|
| DOI | 10.1371/journal.pcbi.1000978 |
| Pubmed ID | |
| Authors |
Cristina Marino Buslje, Elin Teppa, Tomas Di Doménico, José María Delfino, Morten Nielsen |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 1% |
| Spain | 1 | 1% |
| Norway | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 81 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Researcher | 16 | 19% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Other | 15 | 18% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 49% |
| Biochemistry, Genetics and Molecular Biology | 23 | 27% |
| Computer Science | 5 | 6% |
| Arts and Humanities | 2 | 2% |
| Unspecified | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 8 | 9% |