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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploration and augmentation of pharmacological space via adversarial auto-encoder model for facilitating kinase-centric drug development
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2021
|
| DOI | 10.1186/s13321-021-00574-4 |
| Pubmed ID | |
| Authors |
Xinyu Bai, Yuxin Yin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 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 % |
|---|---|---|
| Student > Master | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Social Sciences | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 68% |
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 13 December 2021.
All research outputs
#19,631,015
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#860
of 891 outputs
Outputs of similar age
#375,299
of 507,256 outputs
Outputs of similar age from Journal of Cheminformatics
#21
of 21 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 1st percentile – i.e., 1% 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 507,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.