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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 35% |
United Kingdom | 1 | 6% |
France | 1 | 6% |
Spain | 1 | 6% |
Korea, Democratic People's Republic of | 1 | 6% |
Unknown | 7 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 53% |
Members of the public | 7 | 41% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
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
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.