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Mendeley readers
Title |
Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis
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Published in |
BMC Genomics, January 2012
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DOI | 10.1186/1471-2164-13-s1-s4 |
Pubmed ID | |
Authors |
Hyokyeong Lee, Asher Moody-Davis, Utsab Saha, Brian M Suzuki, Daniel Asarnow, Steven Chen, Michelle Arkin, Conor R Caffrey, Rahul Singh |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 3% |
Indonesia | 1 | 2% |
Romania | 1 | 2% |
United Kingdom | 1 | 2% |
Unknown | 58 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 25% |
Student > Ph. D. Student | 13 | 21% |
Student > Bachelor | 6 | 10% |
Student > Doctoral Student | 5 | 8% |
Professor > Associate Professor | 5 | 8% |
Other | 12 | 19% |
Unknown | 6 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 32% |
Chemistry | 7 | 11% |
Biochemistry, Genetics and Molecular Biology | 5 | 8% |
Computer Science | 4 | 6% |
Medicine and Dentistry | 3 | 5% |
Other | 17 | 27% |
Unknown | 7 | 11% |