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Divide and conquer? Size adjustment with allometry and intermediate outcomes

Overview of attention for article published in BMC Biology, November 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)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
29 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
88 Mendeley
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Title
Divide and conquer? Size adjustment with allometry and intermediate outcomes
Published in
BMC Biology, November 2017
DOI 10.1186/s12915-017-0448-5
Pubmed ID
Authors

Shinichi Nakagawa, Fonti Kar, Rose E. O’Dea, Joel L. Pick, Malgorzata Lagisz

Abstract

Many trait measurements are size-dependent, and while we often divide these traits by size before fitting statistical models to control for the effect of size, this approach does not account for allometry and the intermediate outcome problem. We describe these problems and outline potential solutions.

Twitter Demographics

The data shown below were collected from the profiles of 29 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 28%
Researcher 22 25%
Student > Master 5 6%
Student > Bachelor 5 6%
Professor 4 5%
Other 13 15%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 44%
Environmental Science 9 10%
Biochemistry, Genetics and Molecular Biology 4 5%
Unspecified 2 2%
Business, Management and Accounting 2 2%
Other 8 9%
Unknown 24 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 2019.
All research outputs
#1,782,754
of 21,634,174 outputs
Outputs from BMC Biology
#537
of 1,870 outputs
Outputs of similar age
#43,217
of 342,012 outputs
Outputs of similar age from BMC Biology
#61
of 127 outputs
Altmetric has tracked 21,634,174 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.3. 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 342,012 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 127 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 51% of its contemporaries.