| Title |
An integrated approach to processing WHO-2016 verbal autopsy data: the InterVA-5 model
|
|---|---|
| Published in |
BMC Medicine, May 2019
|
| DOI | 10.1186/s12916-019-1333-6 |
| Pubmed ID | |
| Authors |
Peter Byass, Laith Hussain-Alkhateeb, Lucia D’Ambruoso, Samuel Clark, Justine Davies, Edward Fottrell, Jon Bird, Chodziwadziwa Kabudula, Stephen Tollman, Kathleen Kahn, Linus Schiöler, Max Petzold |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 14% |
| United States | 3 | 8% |
| Sweden | 2 | 5% |
| Panama | 1 | 3% |
| Kenya | 1 | 3% |
| India | 1 | 3% |
| Germany | 1 | 3% |
| Spain | 1 | 3% |
| Finland | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 18 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 70% |
| Scientists | 6 | 16% |
| Practitioners (doctors, other healthcare professionals) | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 17% |
| Student > Master | 16 | 17% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Bachelor | 6 | 6% |
| Other | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 30 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 22% |
| Social Sciences | 11 | 12% |
| Nursing and Health Professions | 9 | 9% |
| Computer Science | 4 | 4% |
| Business, Management and Accounting | 3 | 3% |
| Other | 13 | 14% |
| Unknown | 34 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 May 2020.
All research outputs
#640,191
of 25,480,126 outputs
Outputs from BMC Medicine
#469
of 4,032 outputs
Outputs of similar age
#13,900
of 364,336 outputs
Outputs of similar age from BMC Medicine
#9
of 51 outputs
Altmetric has tracked 25,480,126 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,336 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.