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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The combined effect of the T2DM susceptibility genes is an important risk factor for T2DM in non-obese Japanese: a population based case-control study
|
|---|---|
| Published in |
BMC Medical Genomics, February 2012
|
| DOI | 10.1186/1471-2350-13-11 |
| Pubmed ID | |
| Authors |
Kimiko Yamakawa-Kobayashi, Maki Natsume, Shingo Aoki, Sachi Nakano, Tomoko Inamori, Nobuhiko Kasezawa, Toshinao Goda |
| Abstract |
Type 2 diabetes mellitus (T2DM) is a complex endocrine and metabolic disorder. Recently, several genome-wide association studies (GWAS) have identified many novel susceptibility loci for T2DM, and indicated that there are common genetic causes contributing to the susceptibility to T2DM in multiple populations worldwide. In addition, clinical and epidemiological studies have indicated that obesity is a major risk factor for T2DM. However, the prevalence of obesity varies among the various ethnic groups. We aimed to determine the combined effects of these susceptibility loci and obesity/overweight for development of T2DM in the Japanese. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 6 | 21% |
| Student > Bachelor | 4 | 14% |
| Student > Ph. D. Student | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Master | 3 | 11% |
| Other | 6 | 21% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 36% |
| Medicine and Dentistry | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
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 May 2012.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#1,566
of 2,444 outputs
Outputs of similar age
#128,194
of 168,081 outputs
Outputs of similar age from BMC Medical Genomics
#16
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 31st percentile – i.e., 31% 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 168,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.