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Mendeley readers
| Title |
Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2017
|
| DOI | 10.1186/s12911-017-0561-y |
| Pubmed ID | |
| Authors |
Antonios Lalas, Stavros Nousias, Dimitrios Kikidis, Aris Lalos, Gerasimos Arvanitis, Christos Sougles, Konstantinos Moustakas, Konstantinos Votis, Sylvia Verbanck, Omar Usmani, Dimitrios Tzovaras |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 3 | 10% |
| Researcher | 3 | 10% |
| Librarian | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 17% |
| Engineering | 5 | 17% |
| Medicine and Dentistry | 4 | 13% |
| Physics and Astronomy | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 12 | 40% |