| Title |
Human metabolic correlates of body mass index
|
|---|---|
| Published in |
Metabolomics, August 2013
|
| DOI | 10.1007/s11306-013-0574-1 |
| Pubmed ID | |
| Authors |
Steven C. Moore, Charles E. Matthews, Joshua N. Sampson, Rachael Z. Stolzenberg-Solomon, Wei Zheng, Qiuyin Cai, Yu Ting Tan, Wong-Ho Chow, Bu-Tian Ji, Da Ke Liu, Qian Xiao, Simina M. Boca, Michael F. Leitzmann, Gong Yang, Yong Bing Xiang, Rashmi Sinha, Xiao Ou Shu, Amanda J. Cross |
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 | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 2% |
| Germany | 2 | 1% |
| Japan | 2 | 1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| Austria | 1 | <1% |
| Czechia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 168 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 20% |
| Student > Ph. D. Student | 31 | 17% |
| Student > Master | 28 | 16% |
| Student > Doctoral Student | 16 | 9% |
| Student > Bachelor | 12 | 7% |
| Other | 27 | 15% |
| Unknown | 30 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 17% |
| Agricultural and Biological Sciences | 30 | 17% |
| Medicine and Dentistry | 30 | 17% |
| Nursing and Health Professions | 11 | 6% |
| Chemistry | 10 | 6% |
| Other | 30 | 17% |
| Unknown | 39 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 2014.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Metabolomics
#1,012
of 1,413 outputs
Outputs of similar age
#138,859
of 214,677 outputs
Outputs of similar age from Metabolomics
#11
of 18 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 20th percentile – i.e., 20% 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 214,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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.