You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Algorithms for enhancing public health utility of national causes-of-death data
|
|---|---|
| Published in |
Population Health Metrics, May 2010
|
| DOI | 10.1186/1478-7954-8-9 |
| Pubmed ID | |
| Authors |
Mohsen Naghavi, Susanna Makela, Kyle Foreman, Janaki O'Brien, Farshad Pourmalek, Rafael Lozano |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Singapore | 2 | <1% |
| South Africa | 2 | <1% |
| United States | 2 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Canada | 1 | <1% |
| Portugal | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 279 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 16% |
| Researcher | 45 | 15% |
| Student > Ph. D. Student | 38 | 13% |
| Student > Bachelor | 33 | 11% |
| Other | 21 | 7% |
| Other | 61 | 21% |
| Unknown | 50 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 104 | 35% |
| Social Sciences | 29 | 10% |
| Nursing and Health Professions | 18 | 6% |
| Agricultural and Biological Sciences | 14 | 5% |
| Environmental Science | 9 | 3% |
| Other | 58 | 20% |
| Unknown | 62 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 11 July 2023.
All research outputs
#981,552
of 26,017,215 outputs
Outputs from Population Health Metrics
#23
of 418 outputs
Outputs of similar age
#2,813
of 108,760 outputs
Outputs of similar age from Population Health Metrics
#1
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done particularly well, scoring higher than 94% 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 108,760 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 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.