↓ Skip to main content

On the use of log‐transformation vs. nonlinear regression for analyzing biological power laws

Overview of attention for article published in Ecology, October 2011
Altmetric Badge

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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Citations

dimensions_citation
256 Dimensions

Readers on

mendeley
383 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
On the use of log‐transformation vs. nonlinear regression for analyzing biological power laws
Published in
Ecology, October 2011
DOI 10.1890/11-0538.1
Pubmed ID
Authors

Xiao Xiao, Ethan P. White, Mevin B. Hooten, Susan L. Durham

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 5%
Brazil 9 2%
Canada 5 1%
Germany 3 <1%
Switzerland 2 <1%
Argentina 2 <1%
Norway 2 <1%
Italy 1 <1%
Hungary 1 <1%
Other 11 3%
Unknown 328 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 88 23%
Student > Ph. D. Student 83 22%
Student > Master 52 14%
Professor > Associate Professor 32 8%
Student > Doctoral Student 24 6%
Other 71 19%
Unknown 33 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 170 44%
Environmental Science 85 22%
Earth and Planetary Sciences 17 4%
Physics and Astronomy 10 3%
Engineering 8 2%
Other 44 11%
Unknown 49 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 03 March 2023.
All research outputs
#1,572,642
of 26,017,215 outputs
Outputs from Ecology
#711
of 7,541 outputs
Outputs of similar age
#7,160
of 146,649 outputs
Outputs of similar age from Ecology
#3
of 26 outputs
Altmetric has tracked 26,017,215 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 7,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done well, scoring higher than 86% 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 146,649 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 94% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.