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A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing

Overview of attention for article published in bioRxiv
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 113,403)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
81 news outlets
blogs
14 blogs
twitter
4496 tweeters
facebook
8 Facebook pages
video
2 video uploaders

Citations

dimensions_citation
188 Dimensions

Readers on

mendeley
1026 Mendeley
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Title
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
Published in
bioRxiv
DOI 10.1101/2020.03.22.002386
Pubmed ID
Authors

Gordon, David E., Jang, Gwendolyn M., Bouhaddou, Mehdi, Xu, Jiewei, Obernier, Kirsten, O’Meara, Matthew J., Guo, Jeffrey Z., Swaney, Danielle L., Tummino, Tia A., Hüttenhain, Ruth, Kaake, Robyn M., Richards, Alicia L., Tutuncuoglu, Beril, Foussard, Helene, Batra, Jyoti, Haas, Kelsey, Modak, Maya, Kim, Minkyu, Haas, Paige, Polacco, Benjamin J., Braberg, Hannes, Fabius, Jacqueline M., Eckhardt, Manon, Soucheray, Margaret, Bennett, Melanie J., Cakir, Merve, McGregor, Michael J, Li, Qiongyu, Naing, Zun Zar Chi, Zhou, Yuan, Peng, Shiming, Kirby, Ilsa T., Melnyk, James E., Chorba, John S., Lou, Kevin, Dai, Shizhong A., Shen, Wenqi, Shi, Ying, Zhang, Ziyang, Barrio-Hernandez, Inigo, Memon, Danish, Hernandez-Armenta, Claudia, Mathy, Christopher J.P., Perica, Tina, Pilla, Kala B., Ganesan, Sai J., Saltzberg, Daniel J., Ramachandran, Rakesh, Liu, Xi, Rosenthal, Sara B., Calviello, Lorenzo, Venkataramanan, Srivats, Lin, Yizhu, Wankowicz, Stephanie A., Bohn, Markus, Trenker, Raphael, Young, Janet M., Cavero, Devin, Hiatt, Joe, Roth, Theo, Rathore, Ujjwal, Subramanian, Advait, Noack, Julia, Hubert, Mathieu, Roesch, Ferdinand, Vallet, Thomas, Meyer, Björn, White, Kris M., Miorin, Lisa, Agard, David, Emerman, Michael, Ruggero, Davide, García-Sastre, Adolfo, Jura, Natalia, Zastrow, Mark von, Taunton, Jack, Schwartz, Olivier, Vignuzzi, Marco, d’Enfert, Christophe, Mukherjee, Shaeri, Jacobson, Matt, Malik, Harmit S., Fujimori, Danica G., Ideker, Trey, Craik, Charles S., Floor, Stephen, Fraser, James S., Gross, John, Sali, Andrej, Kortemme, Tanja, Beltrao, Pedro, Shokat, Kevan, Shoichet, Brian K., Krogan, Nevan J.

Twitter Demographics

The data shown below were collected from the profiles of 4,496 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 1,026 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1026 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 219 21%
Student > Ph. D. Student 204 20%
Student > Master 98 10%
Student > Bachelor 94 9%
Student > Doctoral Student 54 5%
Other 194 19%
Unknown 163 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 309 30%
Agricultural and Biological Sciences 130 13%
Medicine and Dentistry 79 8%
Chemistry 75 7%
Immunology and Microbiology 53 5%
Other 164 16%
Unknown 216 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 3313. 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 20 December 2020.
All research outputs
#767
of 17,138,809 outputs
Outputs from bioRxiv
#16
of 113,403 outputs
Outputs of similar age
#118
of 275,549 outputs
Outputs of similar age from bioRxiv
#5
of 7,959 outputs
Altmetric has tracked 17,138,809 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 113,403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 99% 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 275,549 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 7,959 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 99% of its contemporaries.