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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A reinforcement learning approach for protein–ligand binding pose prediction
|
|---|---|
| Published in |
BMC Bioinformatics, September 2022
|
| DOI | 10.1186/s12859-022-04912-7 |
| Pubmed ID | |
| Authors |
Chenran Wang, Yang Chen, Yuan Zhang, Keqiao Li, Menghan Lin, Feng Pan, Wei Wu, Jinfeng Zhang |
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% |
| United States | 1 | 17% |
| India | 1 | 17% |
| United Kingdom | 1 | 17% |
| Israel | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 17% |
| Other | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 17% |
| Agricultural and Biological Sciences | 2 | 17% |
| Environmental Science | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 September 2022.
All research outputs
#15,102,803
of 24,417,958 outputs
Outputs from BMC Bioinformatics
#4,640
of 7,530 outputs
Outputs of similar age
#200,391
of 422,188 outputs
Outputs of similar age from BMC Bioinformatics
#76
of 147 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,530 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 35th percentile – i.e., 35% 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 422,188 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 50% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.