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Mendeley readers
Attention Score in Context
| Title |
Feasibility of using a World Health Organization-standard methodology for Sample Vital Registration with Verbal Autopsy (SAVVY) to report leading causes of death in Zambia: results of a pilot in four provinces, 2010
|
|---|---|
| Published in |
Population Health Metrics, August 2011
|
| DOI | 10.1186/1478-7954-9-40 |
| Pubmed ID | |
| Authors |
Sheila S Mudenda, Stanley Kamocha, Robert Mswia, Martha Conkling, Palver Sikanyiti, Dara Potter, William C Mayaka, Melissa A Marx |
| Abstract |
Verbal autopsy (VA) can be used to describe leading causes of death in countries like Zambia where vital events registration does not produce usable data. The objectives of this study were to assess the feasibility of using verbal autopsy to determine age-, sex-, and cause-specific mortality in a community-based setting in Zambia and to estimate overall age-, sex-, and cause-specific mortality in the four provinces sampled. |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 107 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 21% |
| Researcher | 20 | 18% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 6 | 5% |
| Other | 25 | 22% |
| Unknown | 19 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 34% |
| Social Sciences | 15 | 13% |
| Agricultural and Biological Sciences | 8 | 7% |
| Nursing and Health Professions | 7 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 15 | 13% |
| Unknown | 25 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2013.
All research outputs
#7,410,276
of 22,656,971 outputs
Outputs from Population Health Metrics
#210
of 391 outputs
Outputs of similar age
#42,067
of 119,812 outputs
Outputs of similar age from Population Health Metrics
#7
of 20 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 119,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.