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X Demographics
Mendeley readers
| Title |
Data-driven methods for imputing national-level incidence in global burden of disease studies
|
|---|---|
| Published by |
WHO Press, February 2015
|
| DOI | 10.2471/blt.14.139972 |
| Pubmed ID | |
| Authors |
Scott A McDonald, Brecht Devleesschauwer, Niko Speybroeck, Niel Hens, Nicolas Praet, Paul R Torgerson, Arie H Havelaar, Felicia Wu, Marlène Tremblay, Ermias W Amene, Dörte Döpfer |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Professor > Associate Professor | 1 | 3% |
| Unknown | 36 | 92% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Engineering | 1 | 3% |
| Unknown | 36 | 92% |