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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Childhood body mass index trajectories: modeling, characterizing, pairwise correlations and socio-demographic predictors of trajectory characteristics
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2012
|
| DOI | 10.1186/1471-2288-12-38 |
| Pubmed ID | |
| Authors |
Xiaozhong Wen, Ken Kleinman, Matthew W Gillman, Sheryl L Rifas-Shiman, Elsie M Taveras |
| Abstract |
Modeling childhood body mass index (BMI) trajectories, versus estimating change in BMI between specific ages, may improve prediction of later body-size-related outcomes. Prior studies of BMI trajectories are limited by restricted age periods and insufficient use of trajectory information. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Czechia | 1 | <1% |
| Unknown | 126 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 17% |
| Student > Master | 23 | 17% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Doctoral Student | 10 | 8% |
| Student > Bachelor | 7 | 5% |
| Other | 30 | 23% |
| Unknown | 23 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 36% |
| Social Sciences | 10 | 8% |
| Nursing and Health Professions | 6 | 5% |
| Agricultural and Biological Sciences | 6 | 5% |
| Environmental Science | 5 | 4% |
| Other | 23 | 17% |
| Unknown | 35 | 26% |
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 10 March 2022.
All research outputs
#12,930,072
of 23,312,088 outputs
Outputs from BMC Medical Research Methodology
#1,174
of 2,057 outputs
Outputs of similar age
#86,520
of 161,760 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 40 outputs
Altmetric has tracked 23,312,088 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 2,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 161,760 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 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.