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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classification of metabolic syndrome according to lipid alterations: analysis from the Mexican National Health and Nutrition Survey 2006
|
|---|---|
| Published in |
BMC Public Health, October 2014
|
| DOI | 10.1186/1471-2458-14-1056 |
| Pubmed ID | |
| Authors |
Andrea Pedroza-Tobias, Belem Trejo-Valdivia, Luz M Sanchez-Romero, Simon Barquera |
| Abstract |
There are 16 possible Metabolic Syndrome (MS) combinations out of 5 conditions (glucose intolerance, low levels of high-density lipoprotein Cholesterol (HDL-C), high triglycerides, high blood pressure and abdominal obesity), when selecting those with at least three. Studies suggest that some combinations have different cardiovascular risk. However evaluation of all 16 combinations is complex and difficult to interpret. The purpose of this study is to describe and explore a classification of MS groups according to their lipid alterations. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 12 | 52% |
| United States | 2 | 9% |
| Chile | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 7 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 74% |
| Practitioners (doctors, other healthcare professionals) | 4 | 17% |
| Scientists | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 22% |
| Student > Bachelor | 16 | 15% |
| Other | 8 | 7% |
| Researcher | 8 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Other | 24 | 22% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 34% |
| Nursing and Health Professions | 15 | 14% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Agricultural and Biological Sciences | 5 | 5% |
| Social Sciences | 4 | 4% |
| Other | 17 | 16% |
| Unknown | 21 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 January 2015.
All research outputs
#1,796,725
of 23,929,753 outputs
Outputs from BMC Public Health
#1,997
of 15,587 outputs
Outputs of similar age
#20,804
of 258,392 outputs
Outputs of similar age from BMC Public Health
#32
of 274 outputs
Altmetric has tracked 23,929,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 87% 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 258,392 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 91% of its contemporaries.
We're also able to compare this research output to 274 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.