Title |
Analysis of SARS-CoV-2 RNA-dependent RNA polymerase as a potential therapeutic drug target using a computational approach
|
---|---|
Published in |
Journal of Translational Medicine, July 2020
|
DOI | 10.1186/s12967-020-02439-0 |
Pubmed ID | |
Authors |
Syed Ovais Aftab, Muhammad Zubair Ghouri, Muhammad Umer Masood, Zeshan Haider, Zulqurnain Khan, Aftab Ahmad, Nayla Munawar |
X Demographics
The data shown below were collected from the profiles of 15 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 States | 3 | 20% |
France | 1 | 7% |
Timor-Leste | 1 | 7% |
Pakistan | 1 | 7% |
Unknown | 9 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 87% |
Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 337 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 43 | 13% |
Student > Master | 34 | 10% |
Researcher | 31 | 9% |
Student > Ph. D. Student | 31 | 9% |
Student > Doctoral Student | 13 | 4% |
Other | 45 | 13% |
Unknown | 140 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 57 | 17% |
Pharmacology, Toxicology and Pharmaceutical Science | 29 | 9% |
Chemistry | 26 | 8% |
Medicine and Dentistry | 18 | 5% |
Agricultural and Biological Sciences | 16 | 5% |
Other | 39 | 12% |
Unknown | 152 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 01 October 2023.
All research outputs
#1,376,419
of 25,358,192 outputs
Outputs from Journal of Translational Medicine
#253
of 4,616 outputs
Outputs of similar age
#36,922
of 404,169 outputs
Outputs of similar age from Journal of Translational Medicine
#11
of 79 outputs
Altmetric has tracked 25,358,192 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 4,616 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 94% 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 404,169 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 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.