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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiple biomarker models for improved risk estimation of specific cardiovascular diseases related to metabolic syndrome: a cross-sectional study
|
|---|---|
| Published in |
Population Health Metrics, March 2015
|
| DOI | 10.1186/s12963-015-0041-5 |
| Authors |
Evan Coffman, Jennifer Richmond-Bryant |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Student > Bachelor | 7 | 15% |
| Student > Master | 7 | 15% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Postgraduate | 5 | 11% |
| Other | 5 | 11% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 45% |
| Agricultural and Biological Sciences | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Computer Science | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 8 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Population Health Metrics
#341
of 392 outputs
Outputs of similar age
#191,059
of 261,657 outputs
Outputs of similar age from Population Health Metrics
#8
of 8 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 392 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 3rd percentile – i.e., 3% 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 261,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.