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Reference flow: reducing reference bias using multiple population genomes

Overview of attention for article published in Genome Biology, 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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
38 X users
q&a
1 Q&A thread

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
126 Mendeley
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Title
Reference flow: reducing reference bias using multiple population genomes
Published in
Genome Biology, January 2021
DOI 10.1186/s13059-020-02229-3
Pubmed ID
Authors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 18%
Student > Ph. D. Student 18 14%
Student > Bachelor 14 11%
Student > Master 12 10%
Other 9 7%
Other 16 13%
Unknown 34 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 33%
Agricultural and Biological Sciences 24 19%
Computer Science 6 5%
Immunology and Microbiology 3 2%
Environmental Science 3 2%
Other 12 10%
Unknown 36 29%
Attention Score in Context

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 09 September 2022.
All research outputs
#1,569,934
of 25,387,668 outputs
Outputs from Genome Biology
#1,277
of 4,470 outputs
Outputs of similar age
#42,706
of 520,111 outputs
Outputs of similar age from Genome Biology
#36
of 86 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 520,111 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 91% of its contemporaries.
We're also able to compare this research output to 86 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 58% of its contemporaries.