| Title |
3C-like protease inhibitors block coronavirus replication in vitro and improve survival in MERS-CoV–infected mice
|
|---|---|
| Published in |
Science Translational Medicine, August 2020
|
| DOI | 10.1126/scitranslmed.abc5332 |
| Pubmed ID | |
| Authors |
Athri D Rathnayake, Jian Zheng, Yunjeong Kim, Krishani Dinali Perera, Samantha Mackin, David K Meyerholz, Maithri M Kashipathy, Kevin P Battaile, Scott Lovell, Stanley Perlman, William C Groutas, Kyeong-Ok Chang |
X Demographics
The data shown below were collected from the profiles of 225 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 | 27 | 12% |
| Japan | 11 | 5% |
| India | 10 | 4% |
| Spain | 7 | 3% |
| Dominican Republic | 6 | 3% |
| United Kingdom | 5 | 2% |
| Colombia | 5 | 2% |
| Turkey | 3 | 1% |
| Mexico | 3 | 1% |
| Other | 25 | 11% |
| Unknown | 123 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 189 | 84% |
| Scientists | 25 | 11% |
| Practitioners (doctors, other healthcare professionals) | 8 | 4% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 244 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 50 | 20% |
| Student > Master | 26 | 11% |
| Student > Ph. D. Student | 23 | 9% |
| Student > Bachelor | 23 | 9% |
| Student > Doctoral Student | 9 | 4% |
| Other | 31 | 13% |
| Unknown | 82 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 16% |
| Agricultural and Biological Sciences | 24 | 10% |
| Chemistry | 23 | 9% |
| Medicine and Dentistry | 22 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 3% |
| Other | 38 | 16% |
| Unknown | 91 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 621. 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 06 April 2023.
All research outputs
#36,598
of 26,017,215 outputs
Outputs from Science Translational Medicine
#129
of 5,474 outputs
Outputs of similar age
#1,491
of 429,268 outputs
Outputs of similar age from Science Translational Medicine
#4
of 104 outputs
Altmetric has tracked 26,017,215 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 5,474 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.8. This one has done particularly well, scoring higher than 97% 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 429,268 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 104 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 96% of its contemporaries.