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Mendeley readers
| Title |
Identification of fever and vaccine-associated gene interaction networks using ontology-based literature mining
|
|---|---|
| Published in |
Journal of Biomedical Semantics, December 2012
|
| DOI | 10.1186/2041-1480-3-18 |
| Pubmed ID | |
| Authors |
Junguk Hur, Arzucan Özgür, Zuoshuang Xiang, Yongqun He |
| Abstract |
Fever is one of the most common adverse events of vaccines. The detailed mechanisms of fever and vaccine-associated gene interaction networks are not fully understood. In the present study, we employed a genome-wide, Centrality and Ontology-based Network Discovery using Literature data (CONDL) approach to analyse the genes and gene interaction networks associated with fever or vaccine-related fever responses. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Student > Bachelor | 5 | 17% |
| Researcher | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 7 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 21% |
| Computer Science | 4 | 14% |
| Medicine and Dentistry | 4 | 14% |
| Engineering | 2 | 7% |
| Social Sciences | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 9 | 31% |