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Predicting nicotine metabolism across ancestries using genotypes

Overview of attention for article published in BMC Genomics, September 2022
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Predicting nicotine metabolism across ancestries using genotypes
Published in
BMC Genomics, September 2022
DOI 10.1186/s12864-022-08884-z
Pubmed ID
Authors

James W. Baurley, Andrew W. Bergen, Carolyn M. Ervin, Sung-shim Lani Park, Sharon E. Murphy, Christopher S. McMahan

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Ph. D. Student 2 13%
Student > Bachelor 1 7%
Professor > Associate Professor 1 7%
Unknown 8 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Unspecified 1 7%
Agricultural and Biological Sciences 1 7%
Sports and Recreations 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 9 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 19 June 2023.
All research outputs
#3,300,696
of 23,884,161 outputs
Outputs from BMC Genomics
#1,182
of 10,855 outputs
Outputs of similar age
#67,494
of 422,057 outputs
Outputs of similar age from BMC Genomics
#14
of 138 outputs
Altmetric has tracked 23,884,161 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,855 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 422,057 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 83% of its contemporaries.
We're also able to compare this research output to 138 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 90% of its contemporaries.