| Title |
Computational and statistical analysis of metabolomics data
|
|---|---|
| Published in |
Metabolomics, July 2015
|
| DOI | 10.1007/s11306-015-0823-6 |
| Authors |
Sheng Ren, Anna A. Hinzman, Emily L. Kang, Rhonda D. Szczesniak, Long Jason Lu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Australia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 531 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | <1% |
| United States | 2 | <1% |
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 517 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 99 | 19% |
| Researcher | 81 | 15% |
| Student > Master | 74 | 14% |
| Student > Bachelor | 44 | 8% |
| Student > Doctoral Student | 42 | 8% |
| Other | 71 | 13% |
| Unknown | 120 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 92 | 17% |
| Agricultural and Biological Sciences | 92 | 17% |
| Chemistry | 78 | 15% |
| Medicine and Dentistry | 24 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 17 | 3% |
| Other | 81 | 15% |
| Unknown | 147 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 14 July 2019.
All research outputs
#6,493,896
of 26,017,215 outputs
Outputs from Metabolomics
#324
of 1,411 outputs
Outputs of similar age
#67,799
of 277,307 outputs
Outputs of similar age from Metabolomics
#4
of 18 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 76% 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 277,307 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
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 has done well, scoring higher than 77% of its contemporaries.