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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
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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 165,636)
  • 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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103 Dimensions

Readers on

mendeley
233 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
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

Twitter Demographics

The data shown below were collected from the profiles of 16,334 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 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 233 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 17%
Student > Ph. D. Student 34 15%
Student > Bachelor 30 13%
Other 21 9%
Student > Master 20 9%
Other 40 17%
Unknown 48 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 17%
Medicine and Dentistry 36 15%
Agricultural and Biological Sciences 20 9%
Computer Science 15 6%
Pharmacology, Toxicology and Pharmaceutical Science 10 4%
Other 50 21%
Unknown 62 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 13747. 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 18 August 2022.
All research outputs
#75
of 21,821,479 outputs
Outputs from bioRxiv
#1
of 165,636 outputs
Outputs of similar age
#3
of 370,900 outputs
Outputs of similar age from bioRxiv
#1
of 6,124 outputs
Altmetric has tracked 21,821,479 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 165,636 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. 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 370,900 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 6,124 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.