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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population
|
|---|---|
| Published in |
BMC Public Health, September 2012
|
| DOI | 10.1186/1471-2458-12-732 |
| Pubmed ID | |
| Authors |
Zhong Xin, Chang Liu, Wen-Yan Niu, Jian-Ping Feng, Lei Zhao, Ya-Hong Ma, Lin Hua, Jin-Kui Yang |
| Abstract |
Obesity has been shown to be a prognostic indicator of type 2 diabetes (T2D); however, the power of different obesity indicators in the detection of T2D remains controversial. This study evaluates the detecting power of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHTR) for the presence of T2D in undiagnosed diabetics among the Chinese population. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Egypt | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 16% |
| Student > Ph. D. Student | 5 | 14% |
| Researcher | 4 | 11% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 8 | 22% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 27% |
| Nursing and Health Professions | 4 | 11% |
| Social Sciences | 3 | 8% |
| Unspecified | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 September 2012.
All research outputs
#14,732,278
of 22,675,759 outputs
Outputs from BMC Public Health
#10,817
of 14,757 outputs
Outputs of similar age
#104,885
of 170,322 outputs
Outputs of similar age from BMC Public Health
#249
of 331 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,757 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 23rd percentile – i.e., 23% 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 170,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.