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Mendeley readers
Attention Score in Context
Title |
Predicting visceral obesity based on facial characteristics
|
---|---|
Published in |
BMC Complementary Medicine and Therapies, July 2014
|
DOI | 10.1186/1472-6882-14-248 |
Pubmed ID | |
Authors |
Bum Ju Lee, Jong Yeol Kim |
Abstract |
Visceral obesity is associated with facial characteristics and chronic disease, but no studies on the best predictor of visceral obesity based on facial characteristics have been reported. The aims of the present study were to investigate the association of visceral obesity with facial characteristics, to determine the best predictor of normal waist and visceral obesity among these characteristics, and to compare the predictive power of individual and combined characteristics. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 3 | 25% |
United Kingdom | 2 | 17% |
Cameroon | 1 | 8% |
Unknown | 6 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 58% |
Scientists | 3 | 25% |
Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Australia | 1 | 3% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 10 | 26% |
Researcher | 6 | 16% |
Student > Ph. D. Student | 3 | 8% |
Other | 2 | 5% |
Student > Doctoral Student | 2 | 5% |
Other | 7 | 18% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 21% |
Engineering | 6 | 16% |
Psychology | 4 | 11% |
Nursing and Health Professions | 3 | 8% |
Computer Science | 2 | 5% |
Other | 7 | 18% |
Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 14 June 2022.
All research outputs
#1,665,593
of 24,167,226 outputs
Outputs from BMC Complementary Medicine and Therapies
#283
of 3,792 outputs
Outputs of similar age
#16,848
of 231,232 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#12
of 102 outputs
Altmetric has tracked 24,167,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,792 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done particularly well, scoring higher than 92% 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 231,232 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 92% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.