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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2021
|
| DOI | 10.1186/s13321-021-00507-1 |
| Pubmed ID | |
| Authors |
Surendra Kumar, Mi-hyun Kim |
X Demographics
The data shown below were collected from the profiles of 8 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 | 13% |
| Korea, Republic of | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 14% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 24 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 16% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Computer Science | 6 | 10% |
| Engineering | 5 | 8% |
| Environmental Science | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 25 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 March 2021.
All research outputs
#7,523,363
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#580
of 934 outputs
Outputs of similar age
#155,699
of 431,668 outputs
Outputs of similar age from Journal of Cheminformatics
#22
of 31 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
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 37th percentile – i.e., 37% 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 431,668 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 63% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.