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X Demographics
Mendeley readers
Attention Score in Context
Title |
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists
|
---|---|
Published in |
Journal of Cheminformatics, May 2023
|
DOI | 10.1186/s13321-023-00721-z |
Pubmed ID | |
Authors |
Nalini Schaduangrat, Nuttapat Anuwongcharoen, Phasit Charoenkwan, Watshara Shoombuatong |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 19% |
Student > Ph. D. Student | 1 | 6% |
Unspecified | 1 | 6% |
Unknown | 11 | 69% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Unspecified | 1 | 6% |
Chemistry | 1 | 6% |
Unknown | 12 | 75% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 May 2023.
All research outputs
#14,724,918
of 24,811,594 outputs
Outputs from Journal of Cheminformatics
#715
of 924 outputs
Outputs of similar age
#172,601
of 387,155 outputs
Outputs of similar age from Journal of Cheminformatics
#21
of 25 outputs
Altmetric has tracked 24,811,594 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 22nd percentile – i.e., 22% 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 387,155 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.