| Title |
Structure-based drug designing and immunoinformatics approach for SARS-CoV-2
|
|---|---|
| Published in |
Science Advances, July 2020
|
| DOI | 10.1126/sciadv.abb8097 |
| Pubmed ID | |
| Authors |
Pritam Kumar Panda, Murugan Natarajan Arul, Paritosh Patel, Suresh K. Verma, Wei Luo, Horst-Günter Rubahn, Yogendra Kumar Mishra, Mrutyunjay Suar, Rajeev Ahuja |
X Demographics
The data shown below were collected from the profiles of 360 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 77 | 21% |
| United States | 26 | 7% |
| United Kingdom | 12 | 3% |
| Brazil | 5 | 1% |
| Canada | 4 | 1% |
| Japan | 3 | <1% |
| Germany | 2 | <1% |
| Pakistan | 2 | <1% |
| Mexico | 2 | <1% |
| Other | 27 | 8% |
| Unknown | 200 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 292 | 81% |
| Scientists | 59 | 16% |
| Science communicators (journalists, bloggers, editors) | 5 | 1% |
| Practitioners (doctors, other healthcare professionals) | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 263 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 13% |
| Researcher | 33 | 13% |
| Student > Ph. D. Student | 28 | 11% |
| Student > Bachelor | 28 | 11% |
| Other | 18 | 7% |
| Other | 37 | 14% |
| Unknown | 85 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 15% |
| Chemistry | 27 | 10% |
| Medicine and Dentistry | 15 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 5% |
| Agricultural and Biological Sciences | 11 | 4% |
| Other | 59 | 22% |
| Unknown | 98 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 293. 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 07 November 2023.
All research outputs
#116,064
of 24,962,233 outputs
Outputs from Science Advances
#1,074
of 11,767 outputs
Outputs of similar age
#3,881
of 403,213 outputs
Outputs of similar age from Science Advances
#51
of 565 outputs
Altmetric has tracked 24,962,233 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,767 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.7. This one has done particularly well, scoring higher than 90% 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 403,213 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 99% of its contemporaries.
We're also able to compare this research output to 565 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 91% of its contemporaries.