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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Age-period-cohort analysis for trends in body mass index in Ireland
|
|---|---|
| Published in |
BMC Public Health, September 2013
|
| DOI | 10.1186/1471-2458-13-889 |
| Pubmed ID | |
| Authors |
Tao Jiang, Mark S Gilthorpe, Frances Shiely, Janas M Harrington, Ivan J Perry, Cecily C Kelleher, Yu-Kang Tu |
| Abstract |
Obesity is a growing problem worldwide and can often result in a variety of negative health outcomes. In this study we aim to apply partial least squares (PLS) methodology to estimate the separate effects of age, period and cohort on the trends in obesity as measured by body mass index (BMI). |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Ireland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uganda | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Other | 8 | 20% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 25% |
| Nursing and Health Professions | 4 | 10% |
| Mathematics | 3 | 8% |
| Economics, Econometrics and Finance | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 10 | 25% |
| Unknown | 9 | 23% |
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 26 September 2013.
All research outputs
#13,392,121
of 22,723,682 outputs
Outputs from BMC Public Health
#9,489
of 14,801 outputs
Outputs of similar age
#106,451
of 203,246 outputs
Outputs of similar age from BMC Public Health
#202
of 289 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,801 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 33rd percentile – i.e., 33% 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 203,246 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.