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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of metabolic syndrome using medical records in the SUN cohort
|
|---|---|
| Published in |
BMC Public Health, November 2011
|
| DOI | 10.1186/1471-2458-11-867 |
| Pubmed ID | |
| Authors |
Maria Teresa Barrio-Lopez, Maira Bes-Rastrollo, Juan Jose Beunza, Alejandro Fernandez-Montero, Martin Garcia-Lopez, Miguel Angel Martinez-Gonzalez |
| Abstract |
The objective of this study was to evaluate the validity of self reported criteria of Metabolic Syndrome (MS) in the SUN (Seguimiento Universidad de Navarra) cohort using their medical records as the gold standard. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter 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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 25% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 5 | 13% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Other | 8 | 20% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 35% |
| Unspecified | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 12 | 30% |
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 16 April 2012.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from BMC Public Health
#13,786
of 14,744 outputs
Outputs of similar age
#129,418
of 141,198 outputs
Outputs of similar age from BMC Public Health
#184
of 190 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 1st percentile – i.e., 1% 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 141,198 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.