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| Title |
Computational methods for processing and interpreting mass spectrometry-based metabolomics
|
|---|---|
| Published in |
Essays in Biochemistry, April 2024
|
| DOI | 10.1042/ebc20230019 |
| Pubmed ID | |
| Authors |
Leonardo Perez de Souza, Alisdair R. Fernie |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 10 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 17% |
| Student > Master | 3 | 17% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Agricultural and Biological Sciences | 2 | 11% |
| Mathematics | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 8 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 31 July 2024.
All research outputs
#3,268,272
of 26,549,961 outputs
Outputs from Essays in Biochemistry
#92
of 580 outputs
Outputs of similar age
#45,279
of 340,764 outputs
Outputs of similar age from Essays in Biochemistry
#1
of 12 outputs
Altmetric has tracked 26,549,961 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 580 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 84% 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 340,764 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 86% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.