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Attention Score in Context
Title |
Modeling the obesity epidemic: social contagion and its implications for control
|
---|---|
Published in |
Theoretical Biology and Medical Modelling, March 2013
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DOI | 10.1186/1742-4682-10-17 |
Pubmed ID | |
Authors |
Keisuke Ejima, Kazuyuki Aihara, Hiroshi Nishiura |
Abstract |
As an obesity epidemic has grown worldwide, a variety of intervention programs have been considered, but a scientific approach to comparatively assessing the control programs has still to be considered. The present study aims to describe an obesity epidemic by employing a simple mathematical model that accounts for both social contagion and non-contagious hazards of obesity, thereby comparing the effectiveness of different types of interventions. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 2% |
Germany | 1 | 2% |
Tunisia | 1 | 2% |
Unknown | 61 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 19% |
Student > Ph. D. Student | 11 | 17% |
Student > Bachelor | 9 | 14% |
Researcher | 8 | 13% |
Student > Doctoral Student | 6 | 9% |
Other | 4 | 6% |
Unknown | 14 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 20% |
Mathematics | 12 | 19% |
Social Sciences | 6 | 9% |
Psychology | 4 | 6% |
Agricultural and Biological Sciences | 4 | 6% |
Other | 10 | 16% |
Unknown | 15 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 10 November 2022.
All research outputs
#2,969,863
of 24,792,414 outputs
Outputs from Theoretical Biology and Medical Modelling
#33
of 284 outputs
Outputs of similar age
#23,742
of 200,202 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#2
of 10 outputs
Altmetric has tracked 24,792,414 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 284 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 88% 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 200,202 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.