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X Demographics
Attention Score in Context
Title |
FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
|
---|---|
Published in |
Journal of Chemical Information and Modeling, April 2024
|
DOI | 10.1021/acs.jcim.4c00071 |
Pubmed ID | |
Authors |
Pieter B. Burger, Xiaohu Hu, Ilya Balabin, Morné Muller, Megan Stanley, Fourie Joubert, Thomas M. Kaiser |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 17% |
Canada | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. 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 10 May 2024.
All research outputs
#586,889
of 25,882,826 outputs
Outputs from Journal of Chemical Information and Modeling
#29
of 5,839 outputs
Outputs of similar age
#5,207
of 207,275 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#3
of 83 outputs
Altmetric has tracked 25,882,826 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 5,839 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 99% 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 207,275 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 97% of its contemporaries.
We're also able to compare this research output to 83 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 96% of its contemporaries.