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Reference flow: reducing reference bias using multiple population genomes

Overview of attention for article published in Genome Biology (Online Edition), January 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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
40 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
93 Mendeley
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Title
Reference flow: reducing reference bias using multiple population genomes
Published in
Genome Biology (Online Edition), January 2021
DOI 10.1186/s13059-020-02229-3
Authors

Nae-Chyun Chen, Brad Solomon, Taher Mun, Sheila Iyer, Ben Langmead

Twitter Demographics

The data shown below were collected from the profiles of 40 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 26%
Student > Ph. D. Student 18 19%
Student > Master 11 12%
Student > Bachelor 9 10%
Student > Doctoral Student 4 4%
Other 11 12%
Unknown 16 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 39%
Agricultural and Biological Sciences 21 23%
Computer Science 5 5%
Medicine and Dentistry 2 2%
Environmental Science 2 2%
Other 8 9%
Unknown 19 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 June 2022.
All research outputs
#1,256,336
of 21,469,099 outputs
Outputs from Genome Biology (Online Edition)
#1,126
of 3,975 outputs
Outputs of similar age
#43,746
of 485,825 outputs
Outputs of similar age from Genome Biology (Online Edition)
#140
of 300 outputs
Altmetric has tracked 21,469,099 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 3,975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 71% 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 485,825 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 90% of its contemporaries.
We're also able to compare this research output to 300 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 53% of its contemporaries.