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Profiling SARS-CoV-2 mutation fingerprints that range from the viral pangenome to individual infection quasispecies

Overview of attention for article published in Genome Medicine, April 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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
40 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Profiling SARS-CoV-2 mutation fingerprints that range from the viral pangenome to individual infection quasispecies
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00882-2
Pubmed ID
Authors

Billy T. Lau, Dmitri Pavlichin, Anna C. Hooker, Alison Almeda, Giwon Shin, Jiamin Chen, Malaya K. Sahoo, Chun Hong Huang, Benjamin A. Pinsky, Ho Joon Lee, Hanlee P. Ji

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Master 7 11%
Student > Doctoral Student 6 9%
Student > Ph. D. Student 6 9%
Professor 5 8%
Other 10 15%
Unknown 19 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 20%
Medicine and Dentistry 12 18%
Social Sciences 4 6%
Immunology and Microbiology 3 5%
Agricultural and Biological Sciences 2 3%
Other 10 15%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 27 December 2023.
All research outputs
#2,381,636
of 26,208,484 outputs
Outputs from Genome Medicine
#518
of 1,637 outputs
Outputs of similar age
#60,300
of 457,322 outputs
Outputs of similar age from Genome Medicine
#22
of 57 outputs
Altmetric has tracked 26,208,484 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,637 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has gotten more attention than average, scoring higher than 68% 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 457,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.