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A community-driven resource for genomic epidemiology and antimicrobial resistance prediction of Neisseria gonorrhoeae at Pathogenwatch

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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45 X users
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1 research highlight platform

Readers on

mendeley
88 Mendeley
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Title
A community-driven resource for genomic epidemiology and antimicrobial resistance prediction of Neisseria gonorrhoeae at Pathogenwatch
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00858-2
Pubmed ID
Authors

Leonor Sánchez-Busó, Corin A. Yeats, Benjamin Taylor, Richard J. Goater, Anthony Underwood, Khalil Abudahab, Silvia Argimón, Kevin C. Ma, Tatum D. Mortimer, Daniel Golparian, Michelle J. Cole, Yonatan H. Grad, Irene Martin, Brian H. Raphael, William M. Shafer, Katy Town, Teodora Wi, Simon R. Harris, Magnus Unemo, David M. Aanensen

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 15%
Researcher 12 14%
Student > Bachelor 10 11%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 4 5%
Other 12 14%
Unknown 28 32%
Readers by discipline Count As %
Immunology and Microbiology 13 15%
Medicine and Dentistry 11 13%
Biochemistry, Genetics and Molecular Biology 9 10%
Agricultural and Biological Sciences 5 6%
Nursing and Health Professions 3 3%
Other 14 16%
Unknown 33 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 16 July 2021.
All research outputs
#1,369,929
of 25,736,439 outputs
Outputs from Genome Medicine
#281
of 1,610 outputs
Outputs of similar age
#36,333
of 454,979 outputs
Outputs of similar age from Genome Medicine
#8
of 57 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has done well, scoring higher than 82% 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 454,979 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 92% 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 done well, scoring higher than 85% of its contemporaries.