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Mendeley readers
Attention Score in Context
| Title |
The metabolic syndrome identifies a heterogeneous group of metabolic component combinations in the Asia-Pacific region
|
|---|---|
| Published in |
Diabetes Research & Clinical Practice, July 2008
|
| DOI | 10.1016/j.diabres.2008.05.011 |
| Pubmed ID | |
| Authors |
Crystal Man Ying Lee, Rachel R. Huxley, Mark Woodward, Paul Zimmet, Jonathan Shaw, Nam H. Cho, Hyung Rae Kim, Satu Viali, Makoto Tominaga, Dorte Vistisen, Knut Borch-Johnsen, Stephen Colagiuri, on behalf of the DETECT-2 Collaboration |
| Abstract |
To compare the prevalence of metabolic syndrome (MetS) by combinations of MetS components derived from the National Cholesterol Education Program Adult Treatment Panel III (ATPIII) and International Diabetes Federation (IDF) definitions. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Researcher | 3 | 10% |
| Professor | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 34% |
| Nursing and Health Professions | 6 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 7 | 24% |
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 09 February 2015.
All research outputs
#22,793,536
of 25,411,814 outputs
Outputs from Diabetes Research & Clinical Practice
#2,922
of 3,192 outputs
Outputs of similar age
#92,044
of 95,531 outputs
Outputs of similar age from Diabetes Research & Clinical Practice
#8
of 8 outputs
Altmetric has tracked 25,411,814 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 3,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 95,531 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 8 others from the same source and published within six weeks on either side of this one.