↓ Skip to main content

3C-like protease inhibitors block coronavirus replication in vitro and improve survival in MERS-CoV–infected mice

Overview of attention for article published in Science Translational Medicine, August 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
58 news outlets
blogs
1 blog
twitter
245 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
57 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 245 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Unspecified 10 18%
Student > Ph. D. Student 6 11%
Student > Bachelor 5 9%
Student > Master 5 9%
Other 13 23%
Unknown 7 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 18%
Medicine and Dentistry 9 16%
Unspecified 9 16%
Chemistry 5 9%
Agricultural and Biological Sciences 5 9%
Other 13 23%
Unknown 6 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 561. 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 19 October 2020.
All research outputs
#19,377
of 16,089,226 outputs
Outputs from Science Translational Medicine
#86
of 4,313 outputs
Outputs of similar age
#1,155
of 301,832 outputs
Outputs of similar age from Science Translational Medicine
#4
of 105 outputs
Altmetric has tracked 16,089,226 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 4,313 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done particularly well, scoring higher than 98% 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 301,832 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 105 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.