| Title |
Statistical strategies for avoiding false discoveries in metabolomics and related experiments
|
|---|---|
| Published in |
Metabolomics, November 2006
|
| DOI | 10.1007/s11306-006-0037-z |
| Authors |
David I. Broadhurst, Douglas B. Kell |
X Demographics
The data shown below were collected from the profiles of 23 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 | 4 | 17% |
| United States | 2 | 9% |
| Spain | 1 | 4% |
| Nicaragua | 1 | 4% |
| Australia | 1 | 4% |
| Myanmar | 1 | 4% |
| Unknown | 13 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 52% |
| Scientists | 8 | 35% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 917 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 1% |
| United Kingdom | 7 | <1% |
| Spain | 6 | <1% |
| Netherlands | 6 | <1% |
| Brazil | 5 | <1% |
| Germany | 4 | <1% |
| Australia | 3 | <1% |
| Sweden | 3 | <1% |
| Japan | 3 | <1% |
| Other | 28 | 3% |
| Unknown | 842 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 232 | 25% |
| Researcher | 212 | 23% |
| Student > Master | 112 | 12% |
| Student > Bachelor | 53 | 6% |
| Student > Doctoral Student | 50 | 5% |
| Other | 137 | 15% |
| Unknown | 121 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 252 | 27% |
| Chemistry | 168 | 18% |
| Biochemistry, Genetics and Molecular Biology | 95 | 10% |
| Medicine and Dentistry | 74 | 8% |
| Engineering | 38 | 4% |
| Other | 136 | 15% |
| Unknown | 154 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 06 September 2022.
All research outputs
#1,056,447
of 26,017,215 outputs
Outputs from Metabolomics
#24
of 1,413 outputs
Outputs of similar age
#2,508
of 173,197 outputs
Outputs of similar age from Metabolomics
#1
of 2 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 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 has done particularly well, scoring higher than 98% 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 173,197 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 98% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them