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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inference of the Genetic Architecture Underlying BMI and Height with the Use of 20,240 Sibling Pairs
|
|---|---|
| Published in |
American Journal of Human Genetics, October 2013
|
| DOI | 10.1016/j.ajhg.2013.10.005 |
| Pubmed ID | |
| Authors |
Gibran Hemani, Jian Yang, Anna Vinkhuyzen, Joseph E. Powell, Gonneke Willemsen, Jouke-Jan Hottenga, Abdel Abdellaoui, Massimo Mangino, Ana M. Valdes, Sarah E. Medland, Pamela A. Madden, Andrew C. Heath, Anjali K. Henders, Dale R. Nyholt, Eco J.C. de Geus, Patrik K.E. Magnusson, Erik Ingelsson, Grant W. Montgomery, Timothy D. Spector, Dorret I. Boomsma, Nancy L. Pedersen, Nicholas G. Martin, Peter M. Visscher |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 3 | 23% |
| Denmark | 1 | 8% |
| Australia | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Iceland | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 127 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 26% |
| Researcher | 30 | 22% |
| Professor | 13 | 10% |
| Student > Bachelor | 12 | 9% |
| Other | 9 | 7% |
| Other | 24 | 18% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 35% |
| Medicine and Dentistry | 30 | 22% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Psychology | 7 | 5% |
| Social Sciences | 5 | 4% |
| Other | 14 | 10% |
| Unknown | 17 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 May 2023.
All research outputs
#1,172,353
of 26,017,215 outputs
Outputs from American Journal of Human Genetics
#640
of 6,012 outputs
Outputs of similar age
#10,508
of 230,114 outputs
Outputs of similar age from American Journal of Human Genetics
#8
of 54 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 89% 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 230,114 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 95% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.