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X Demographics
Mendeley readers
Attention Score in Context
Title |
Probabilistic metabolite annotation using retention time prediction and meta-learned projections
|
---|---|
Published in |
Journal of Cheminformatics, June 2022
|
DOI | 10.1186/s13321-022-00613-8 |
Pubmed ID | |
Authors |
Constantino A. García, Alberto Gil-de-la-Fuente, Coral Barbas, Abraham Otero |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 13% |
India | 1 | 13% |
Spain | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 50% |
Members of the public | 3 | 38% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 31% |
Student > Master | 3 | 12% |
Researcher | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 4 | 15% |
Unknown | 7 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 4 | 15% |
Biochemistry, Genetics and Molecular Biology | 3 | 12% |
Agricultural and Biological Sciences | 3 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Chemical Engineering | 1 | 4% |
Other | 3 | 12% |
Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 December 2022.
All research outputs
#3,201,981
of 25,387,480 outputs
Outputs from Journal of Cheminformatics
#293
of 958 outputs
Outputs of similar age
#66,948
of 439,513 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 24 outputs
Altmetric has tracked 25,387,480 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 958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 69% 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 439,513 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 84% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.