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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning enhances prediction of plants as potential sources of antimalarials
|
---|---|
Published in |
Frontiers in Plant Science, May 2023
|
DOI | 10.3389/fpls.2023.1173328 |
Pubmed ID | |
Authors |
Adam Richard-Bollans, Conal Aitken, Alexandre Antonelli, Cássia Bitencourt, David Goyder, Eve Lucas, Ian Ondo, Oscar A. Pérez-Escobar, Samuel Pironon, James E. Richardson, David Russell, Daniele Silvestro, Colin W. Wright, Melanie-Jayne R. Howes |
X Demographics
The data shown below were collected from the profiles of 33 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 | 6 | 18% |
South Africa | 3 | 9% |
Switzerland | 2 | 6% |
Madagascar | 1 | 3% |
India | 1 | 3% |
Singapore | 1 | 3% |
Denmark | 1 | 3% |
Philippines | 1 | 3% |
Thailand | 1 | 3% |
Other | 3 | 9% |
Unknown | 13 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 82% |
Scientists | 5 | 15% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 36% |
Unspecified | 1 | 9% |
Student > Postgraduate | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Student > Master | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 18% |
Environmental Science | 2 | 18% |
Medicine and Dentistry | 2 | 18% |
Agricultural and Biological Sciences | 2 | 18% |
Computer Science | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 23 June 2023.
All research outputs
#991,356
of 25,807,758 outputs
Outputs from Frontiers in Plant Science
#263
of 24,935 outputs
Outputs of similar age
#20,236
of 393,864 outputs
Outputs of similar age from Frontiers in Plant Science
#6
of 895 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,935 research outputs from this source. They receive a mean Attention Score of 3.9. 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 393,864 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 94% of its contemporaries.
We're also able to compare this research output to 895 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 99% of its contemporaries.