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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SperoPredictor: An Integrated Machine Learning and Molecular Docking-Based Drug Repurposing Framework With Use Case of COVID-19
|
|---|---|
| Published in |
Frontiers in Public Health, June 2022
|
| DOI | 10.3389/fpubh.2022.902123 |
| Pubmed ID | |
| Authors |
Faheem Ahmed, Jae Wook Lee, Anupama Samantasinghar, Young Su Kim, Kyung Hwan Kim, In Suk Kang, Fida Hussain Memon, Jong Hwan Lim, Kyung Hyun Choi |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United States | 1 | 20% |
| Ireland | 1 | 20% |
| Switzerland | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 18% |
| Unspecified | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 2 | 7% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 12 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Unspecified | 2 | 7% |
| Chemistry | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 13 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 July 2023.
All research outputs
#14,415,848
of 24,593,959 outputs
Outputs from Frontiers in Public Health
#3,655
of 12,803 outputs
Outputs of similar age
#172,375
of 405,007 outputs
Outputs of similar age from Frontiers in Public Health
#240
of 1,233 outputs
Altmetric has tracked 24,593,959 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,803 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 70% 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 405,007 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 56% of its contemporaries.
We're also able to compare this research output to 1,233 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.