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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity
|
|---|---|
| Published in |
Human Genetics, May 2016
|
| DOI | 10.1007/s00439-016-1680-8 |
| Pubmed ID | |
| Authors |
Satria P. Sajuthi, Neeraj K. Sharma, Jeff W. Chou, Nicholette D. Palmer, David R. McWilliams, John Beal, Mary E. Comeau, Lijun Ma, Jorge Calles-Escandon, Jamehl Demons, Samantha Rogers, Kristina Cherry, Lata Menon, Ethel Kouba, Donna Davis, Marcie Burris, Sara J. Byerly, Maggie C. Y. Ng, Nisa M. Maruthur, Sanjay R. Patel, Lawrence F. Bielak, Leslie A. Lange, Xiuqing Guo, Michèle M. Sale, Kei Hang K. Chan, Keri L. Monda, Gary K. Chen, Kira Taylor, Cameron Palmer, Todd L. Edwards, Kari E. North, Christopher A. Haiman, Donald W. Bowden, Barry I. Freedman, Carl D. Langefeld, Swapan K. Das |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Researcher | 7 | 12% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Librarian | 5 | 9% |
| Other | 13 | 22% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 31% |
| Medicine and Dentistry | 11 | 19% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 17 | 29% |
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 12 May 2020.
All research outputs
#16,689,742
of 25,998,826 outputs
Outputs from Human Genetics
#2,549
of 3,058 outputs
Outputs of similar age
#209,848
of 354,609 outputs
Outputs of similar age from Human Genetics
#21
of 37 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,058 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 15th percentile – i.e., 15% 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 354,609 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.