| Title |
Molecular docking unveils the potential of andrographolide derivatives against COVID-19: an in silico approach
|
|---|---|
| Published in |
Journal of Genetic Engineering and Biotechnology, April 2022
|
| DOI | 10.1186/s43141-022-00339-y |
| Pubmed ID | |
| Authors |
Ravichandran Veerasamy, Rohini Karunakaran |
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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 15% |
| Researcher | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Other | 2 | 8% |
| Student > Bachelor | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 8 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Environmental Science | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 8 | 31% |
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 17 January 2024.
All research outputs
#14,292,486
of 25,392,582 outputs
Outputs from Journal of Genetic Engineering and Biotechnology
#68
of 348 outputs
Outputs of similar age
#180,362
of 447,085 outputs
Outputs of similar age from Journal of Genetic Engineering and Biotechnology
#7
of 21 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 348 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 79% 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 447,085 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 58% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.