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Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag

Overview of attention for article published in bioRxiv, January 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 118,505)
  • 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)

Citations

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75 Dimensions

Readers on

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207 Mendeley
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Title
Uncanny similarity of unique inserts in the 2019-nCoV spike protein to HIV-1 gp120 and Gag
Published in
bioRxiv, January 2020
DOI 10.1101/2020.01.30.927871
Authors

Pradhan, Prashant, Pandey, Ashutosh Kumar, Mishra, Akhilesh, Gupta, Parul, Tripathi, Praveen Kumar, Menon, Manoj Balakrishnan, Gomes, James, Vivekanandan, Perumal, Kundu, Bishwajit, Prashant Pradhan, Ashutosh Kumar Pandey, Akhilesh Mishra, Parul Gupta, Praveen Kumar Tripathi, Manoj Balakrishnan Menon, James Gomes, Perumal Vivekanandan, Bishwajit Kundu

Twitter Demographics

The data shown below were collected from the profiles of 14,701 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 207 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 18%
Student > Ph. D. Student 32 15%
Student > Bachelor 23 11%
Student > Master 22 11%
Other 19 9%
Other 34 16%
Unknown 39 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 18%
Medicine and Dentistry 32 15%
Agricultural and Biological Sciences 18 9%
Computer Science 15 7%
Pharmacology, Toxicology and Pharmaceutical Science 9 4%
Other 46 22%
Unknown 50 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 12504. 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 April 2021.
All research outputs
#48
of 17,494,559 outputs
Outputs from bioRxiv
#1
of 118,505 outputs
Outputs of similar age
#5
of 335,337 outputs
Outputs of similar age from bioRxiv
#1
of 6,121 outputs
Altmetric has tracked 17,494,559 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 118,505 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 335,337 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 6,121 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.