↓ Skip to main content

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
Altmetric Badge

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 103,710)
  • 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

dimensions_citation
48 Dimensions

Readers on

mendeley
192 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 16,623 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 192 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 18%
Student > Ph. D. Student 30 16%
Student > Master 21 11%
Student > Bachelor 20 10%
Other 18 9%
Other 31 16%
Unknown 38 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 18%
Medicine and Dentistry 30 16%
Agricultural and Biological Sciences 16 8%
Computer Science 14 7%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Other 41 21%
Unknown 48 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 14019. 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 28 November 2020.
All research outputs
#27
of 16,295,431 outputs
Outputs from bioRxiv
#1
of 103,710 outputs
Outputs of similar age
#3
of 314,264 outputs
Outputs of similar age from bioRxiv
#1
of 6,123 outputs
Altmetric has tracked 16,295,431 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 103,710 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 314,264 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 6,123 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.