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Mendeley readers
| Title |
Effectively processing medical term queries on the UMLS Metathesaurus by layered dynamic programming
|
|---|---|
| Published in |
BMC Medical Genomics, May 2014
|
| DOI | 10.1186/1755-8794-7-s1-s11 |
| Pubmed ID | |
| Authors |
Kaiyu Ren, Albert M Lai, Aveek Mukhopadhyay, Raghu Machiraju, Kun Huang, Yang Xiang |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 21% |
| Student > Ph. D. Student | 5 | 21% |
| Student > Bachelor | 4 | 17% |
| Researcher | 3 | 13% |
| Other | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 42% |
| Medicine and Dentistry | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Engineering | 2 | 8% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |