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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling the relationship between body weight and energy intake: A molecular diffusion-based approach
|
|---|---|
| Published in |
Biology Direct, June 2012
|
| DOI | 10.1186/1745-6150-7-19 |
| Pubmed ID | |
| Authors |
Zhejun Gong, Zhefeng Gong |
| Abstract |
Body weight is at least partly controlled by the choices made by a human in response to external stimuli. Changes in body weight are mainly caused by energy intake. By analyzing the mechanisms involved in food intake, we considered that molecular diffusion plays an important role in body weight changes. We propose a model based on Fick's second law of diffusion to simulate the relationship between energy intake and body weight. |
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 % |
|---|---|---|
| Mexico | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 33% |
| Student > Master | 3 | 20% |
| Other | 1 | 7% |
| Researcher | 1 | 7% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Business, Management and Accounting | 1 | 7% |
| Computer Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 6 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 July 2012.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from Biology Direct
#254
of 537 outputs
Outputs of similar age
#54,499
of 177,480 outputs
Outputs of similar age from Biology Direct
#6
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 51% 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 177,480 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 67% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.