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Mendeley readers
| Title |
Network-based SNP meta-analysis identifies joint and disjoint genetic features across common human diseases
|
|---|---|
| Published in |
BMC Genomics, September 2012
|
| DOI | 10.1186/1471-2164-13-490 |
| Pubmed ID | |
| Authors |
Matthias Arnold, Mara L Hartsperger, Hansjörg Baurecht, Elke Rodríguez, Benedikt Wachinger, Andre Franke, Michael Kabesch, Juliane Winkelmann, Arne Pfeufer, Marcel Romanos, Thomas Illig, Hans-Werner Mewes, Volker Stümpflen, Stephan Weidinger |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Unknown | 51 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 30% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Postgraduate | 7 | 13% |
| Student > Bachelor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 11 | 20% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 29% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Medicine and Dentistry | 9 | 16% |
| Computer Science | 5 | 9% |
| Mathematics | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 6 | 11% |