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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
|
|---|---|
| Published in |
Frontiers in Chemistry, November 2019
|
| DOI | 10.3389/fchem.2019.00782 |
| Pubmed ID | |
| Authors |
Maha Thafar, Arwa Bin Raies, Somayah Albaradei, Magbubah Essack, Vladimir B. Bajic |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 182 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 16% |
| Researcher | 26 | 14% |
| Student > Master | 18 | 10% |
| Student > Bachelor | 14 | 8% |
| Professor | 6 | 3% |
| Other | 26 | 14% |
| Unknown | 62 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 13% |
| Computer Science | 23 | 13% |
| Chemistry | 15 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 5% |
| Agricultural and Biological Sciences | 9 | 5% |
| Other | 34 | 19% |
| Unknown | 67 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 August 2022.
All research outputs
#2,115,619
of 25,918,104 outputs
Outputs from Frontiers in Chemistry
#97
of 6,833 outputs
Outputs of similar age
#49,416
of 480,693 outputs
Outputs of similar age from Frontiers in Chemistry
#3
of 212 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,833 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 98% 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 480,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 212 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 98% of its contemporaries.