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Mendeley readers
Attention Score in Context
| Title |
Association between body mass index and diabetes mellitus in tuberculosis patients in China: a community based cross-sectional study
|
|---|---|
| Published in |
BMC Public Health, February 2017
|
| DOI | 10.1186/s12889-017-4101-6 |
| Pubmed ID | |
| Authors |
Jing Cai, Aiguo Ma, Qiuzhen Wang, Xiuxia Han, Shanliang Zhao, Yu Wang, Evert G. Schouten, Frans J. Kok |
| Abstract |
We planned to determine the association of body mass index (BMI) with diabetes mellitus (DM) and impaired fasting glucose (IFG) in Chinese pulmonary tuberculosis (PTB) patients. 3,505 newly-diagnosed PTB patients registered in PTB clinics in Linyi of China between September 2010 and March 2013 were enrolled. DM and IFG were identified based on fasting plasma glucose levels. ROC analysis was used to predict the ability of screening of BMI for DM and IFG in PTB patients. Compared with 18.5-23.9 kg/m(2), patients with DM and IFG had significantly increased trends when BMI ≥ 24.0 kg/m(2), and aORs were 2.28 (95%CI 1.44-3.60) and 1.30 (95%CI 1.04-1.64), respectively. After adjustment for age, gender, and educational level, there was an increased odd in BMI ≥ 23.41 kg/m(2) for IFG, and a decreased odd in BMI < 19.82 kg/m(2) for DM (p < 0.05). The cut-offs of BMI for screening IFG and DM in PTB patients were 22.22 kg/m(2) (AUC 0.56) and 22.34 kg/m(2) (AUC 0.59). In PTB patients, BMI is significantly associated with IFG and DM. However, the predictive power of BMI was not sufficient, so it may only be a limited screening tool for DM and IFG among PTB patients in China. |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 14% |
| Student > Bachelor | 6 | 9% |
| Researcher | 4 | 6% |
| Other | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 28 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 25% |
| Nursing and Health Professions | 11 | 16% |
| Agricultural and Biological Sciences | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 28 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 2018.
All research outputs
#7,523,397
of 22,959,818 outputs
Outputs from BMC Public Health
#7,943
of 14,960 outputs
Outputs of similar age
#121,788
of 310,858 outputs
Outputs of similar age from BMC Public Health
#106
of 183 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,960 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 42nd percentile – i.e., 42% 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 310,858 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.