| Title |
Quick-start infrastructure for untargeted metabolomics analysis in GNPS
|
|---|---|
| Published in |
Nature Metabolism, July 2021
|
| DOI | 10.1038/s42255-021-00429-0 |
| Pubmed ID | |
| Authors |
Tiago F. Leao, Chase M. Clark, Anelize Bauermeister, Emmanuel O. Elijah, Emily C. Gentry, Makhai Husband, Michelli F. Oliveira, Nuno Bandeira, Mingxun Wang, Pieter C. Dorrestein |
X Demographics
The data shown below were collected from the profiles of 139 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 States | 28 | 20% |
| Germany | 7 | 5% |
| Brazil | 7 | 5% |
| Canada | 5 | 4% |
| Netherlands | 4 | 3% |
| India | 4 | 3% |
| Denmark | 4 | 3% |
| United Kingdom | 4 | 3% |
| France | 3 | 2% |
| Other | 23 | 17% |
| Unknown | 50 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 75 | 54% |
| Members of the public | 58 | 42% |
| Science communicators (journalists, bloggers, editors) | 5 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 19% |
| Researcher | 7 | 16% |
| Student > Master | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Other | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 26% |
| Agricultural and Biological Sciences | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Immunology and Microbiology | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 12 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 08 July 2023.
All research outputs
#565,027
of 25,753,578 outputs
Outputs from Nature Metabolism
#258
of 1,026 outputs
Outputs of similar age
#14,741
of 452,033 outputs
Outputs of similar age from Nature Metabolism
#14
of 42 outputs
Altmetric has tracked 25,753,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 81.1. This one has gotten more attention than average, scoring higher than 74% 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 452,033 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 96% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.