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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets
|
|---|---|
| Published in |
Frontiers in Pharmacology, February 2020
|
| DOI | 10.3389/fphar.2020.00069 |
| Pubmed ID | |
| Authors |
Jincai Yang, Cheng Shen, Niu Huang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 133 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 19% |
| Researcher | 19 | 14% |
| Student > Bachelor | 15 | 11% |
| Student > Master | 10 | 8% |
| Other | 7 | 5% |
| Other | 13 | 10% |
| Unknown | 44 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 25 | 19% |
| Computer Science | 18 | 14% |
| Biochemistry, Genetics and Molecular Biology | 13 | 10% |
| Agricultural and Biological Sciences | 5 | 4% |
| Engineering | 3 | 2% |
| Other | 16 | 12% |
| Unknown | 53 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 10 February 2023.
All research outputs
#1,375,948
of 23,323,574 outputs
Outputs from Frontiers in Pharmacology
#474
of 16,763 outputs
Outputs of similar age
#33,613
of 360,781 outputs
Outputs of similar age from Frontiers in Pharmacology
#21
of 527 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% of its peers.
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 360,781 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 527 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.