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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Uses Chemo-Transcriptomic Profiles to Stratify Antimalarial Compounds With Similar Mode of Action
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, June 2021
|
| DOI | 10.3389/fcimb.2021.688256 |
| Pubmed ID | |
| Authors |
Ashleigh van Heerden, Roelof van Wyk, Lyn-Marie Birkholtz |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Master | 3 | 16% |
| Professor | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 4 | 21% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 16% |
| Engineering | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Unspecified | 1 | 5% |
| Other | 5 | 26% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 July 2021.
All research outputs
#20,003,838
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#5,162
of 8,110 outputs
Outputs of similar age
#323,381
of 454,069 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#209
of 312 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 454,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 312 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.