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High-throughput analysis suggests differences in journal false discovery rate by subject area and impact factor but not open access status

Overview of attention for article published in BMC Bioinformatics, December 2020
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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)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
35 X users

Readers on

mendeley
19 Mendeley
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Title
High-throughput analysis suggests differences in journal false discovery rate by subject area and impact factor but not open access status
Published in
BMC Bioinformatics, December 2020
DOI 10.1186/s12859-020-03817-7
Pubmed ID
Authors

L. M. Hall, A. E. Hendricks

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Student > Bachelor 2 11%
Professor > Associate Professor 1 5%
Other 2 11%
Unknown 7 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 16%
Computer Science 2 11%
Chemical Engineering 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Unspecified 1 5%
Other 2 11%
Unknown 9 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 15 December 2020.
All research outputs
#1,627,800
of 24,995,611 outputs
Outputs from BMC Bioinformatics
#277
of 7,630 outputs
Outputs of similar age
#43,742
of 521,407 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 149 outputs
Altmetric has tracked 24,995,611 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 7,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 96% 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 521,407 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 149 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 98% of its contemporaries.