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Genetic regulation of OAS1 nonsense-mediated decay underlies association with risk of severe COVID-19

Overview of attention for article published in medRxiv, July 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
36 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
10 Mendeley
Title
Genetic regulation of OAS1 nonsense-mediated decay underlies association with risk of severe COVID-19
Published in
medRxiv, July 2021
DOI 10.1101/2021.07.09.21260221
Authors

A Rouf Banday, Megan L Stanifer, Oscar Florez-Vargas, Olusegun O Onabajo, Muhammad A Zahoor, Brenen W Papenberg, Timothy J Ring, Chia-Han Lee, Evangelos Andreakos, Evgeny Arons, Greg Barsh, Leslie G Biesecker, David L Boyle, Andrea Burnett-Hartman, Mary Carrington, Euijin Chang, Pyoeng Gyun Choe, Rex L Chrisholm, Clifton Dalgard, Jeff Edberg, Nathan Erdmann, Heather S Feigelson, Gary S Firestein, Adam J Gehring, Michelle Ho, Steven Holland, Amy A Hutchinson, Hogune Im, Michael G Ison, Hong Bin Kim, Robert J Kreitman, Bruce R Korf, Lisa Mirabello, Jennifer A Pacheco, Michael J Peluso, Daniel J Rader, David T Redden, Marylyn D Ritchie, Brooke Rosenbloom, Hanaisa P Sant Anna, Sharon Savage, Eleni Siouti, Vasiliki Triantafyllia, Joselin M Vargas, Anurag Verma, Vibha Vij, Duane R Wesemann, Meredith Yeager, Xu Yu, Yu Zhang, Steeve Boulant, Stephen J Chanock, Jordan J Feld, Ludmila Prokunina-Olsson

Twitter Demographics

The data shown below were collected from the profiles of 36 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Librarian 1 10%
Other 1 10%
Student > Master 1 10%
Professor > Associate Professor 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 2 20%
Agricultural and Biological Sciences 1 10%
Unspecified 1 10%
Immunology and Microbiology 1 10%
Arts and Humanities 1 10%
Other 0 0%
Unknown 4 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 05 October 2021.
All research outputs
#1,173,478
of 19,097,846 outputs
Outputs from medRxiv
#4,687
of 25,129 outputs
Outputs of similar age
#29,102
of 332,321 outputs
Outputs of similar age from medRxiv
#527
of 3,051 outputs
Altmetric has tracked 19,097,846 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.6. This one has done well, scoring higher than 81% 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 332,321 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 91% of its contemporaries.
We're also able to compare this research output to 3,051 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.