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Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning

Overview of attention for article published in Frontiers in Genetics, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning
Published in
Frontiers in Genetics, April 2022
DOI 10.3389/fgene.2022.858252
Pubmed ID
Authors

Sargun Nagpal, Ridam Pal, Ashima, Ananya Tyagi, Sadhana Tripathi, Aditya Nagori, Saad Ahmad, Hara Prasad Mishra, Rishabh Malhotra, Rintu Kutum, Tavpritesh Sethi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Master 5 13%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Other 3 8%
Other 5 13%
Unknown 12 31%
Readers by discipline Count As %
Medicine and Dentistry 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 3 8%
Other 9 23%
Unknown 14 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 April 2022.
All research outputs
#14,393,696
of 25,149,126 outputs
Outputs from Frontiers in Genetics
#3,038
of 13,534 outputs
Outputs of similar age
#182,568
of 437,345 outputs
Outputs of similar age from Frontiers in Genetics
#147
of 925 outputs
Altmetric has tracked 25,149,126 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,534 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 77% 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 437,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 925 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.