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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Conditional reduction of the loss value versus reinforcement learning for biassing a de-novo drug design generator
|
|---|---|
| Published in |
Journal of Cheminformatics, September 2022
|
| DOI | 10.1186/s13321-022-00643-2 |
| Pubmed ID | |
| Authors |
Mohamed-Amine Chadi, Hajar Mousannif, Ahmed Aamouche |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 14% |
| Sweden | 1 | 14% |
| Israel | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Researcher | 1 | 7% |
| Unknown | 8 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 14% |
| Environmental Science | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Chemistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 7 | 50% |
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 03 October 2022.
All research outputs
#14,088,183
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#662
of 934 outputs
Outputs of similar age
#165,365
of 429,324 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 26 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 27th percentile – i.e., 27% 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 429,324 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 60% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.