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Benchmarking: contexts and details matter

Overview of attention for article published in Genome Biology (Online Edition), July 2017
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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 (87th percentile)

Mentioned by

twitter
32 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Benchmarking: contexts and details matter
Published in
Genome Biology (Online Edition), July 2017
DOI 10.1186/s13059-017-1258-3
Pubmed ID
Authors

Siyuan Zheng

Abstract

Benchmarking is an essential step in the development of computational tools. We take this opportunity to pitch in our opinions on tool benchmarking, in light of two correspondence articles published in Genome Biology.Please see related Li et al. and Newman et al. correspondence articles: www.dx.doi.org/10.1186/s13059-017-1256-5 and www.dx.doi.org/10.1186/s13059-017-1257-4.

Twitter Demographics

The data shown below were collected from the profiles of 32 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 5 17%
Student > Bachelor 4 14%
Student > Postgraduate 4 14%
Other 3 10%
Other 4 14%
Unknown 2 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 52%
Agricultural and Biological Sciences 6 21%
Computer Science 3 10%
Medicine and Dentistry 2 7%
Engineering 1 3%
Other 0 0%
Unknown 2 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 01 November 2018.
All research outputs
#1,202,154
of 15,917,403 outputs
Outputs from Genome Biology (Online Edition)
#1,213
of 3,414 outputs
Outputs of similar age
#32,367
of 268,492 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 15,917,403 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has gotten more attention than average, scoring higher than 64% 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 268,492 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them