↓ Skip to main content

An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach

Overview of attention for article published in BMC Pharmacology, June 2010
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
15 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
535 Dimensions

Readers on

mendeley
784 Mendeley
citeulike
3 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
An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach
Published in
BMC Pharmacology, June 2010
DOI 10.1186/1471-2210-10-6
Pubmed ID
Authors

Andrej-Nikolai Spiess, Natalie Neumeyer

Abstract

It is long known within the mathematical literature that the coefficient of determination R(2) is an inadequate measure for the goodness of fit in nonlinear models. Nevertheless, it is still frequently used within pharmacological and biochemical literature for the analysis and interpretation of nonlinear fitting to data.

Twitter Demographics

The data shown below were collected from the profiles of 15 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 784 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Brazil 4 <1%
Germany 3 <1%
Australia 3 <1%
France 2 <1%
Switzerland 2 <1%
Sweden 2 <1%
Japan 2 <1%
United Kingdom 2 <1%
Other 10 1%
Unknown 749 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 197 25%
Student > Master 132 17%
Researcher 124 16%
Student > Bachelor 57 7%
Student > Doctoral Student 46 6%
Other 129 16%
Unknown 99 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 160 20%
Engineering 100 13%
Environmental Science 62 8%
Biochemistry, Genetics and Molecular Biology 40 5%
Computer Science 32 4%
Other 221 28%
Unknown 169 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 04 June 2022.
All research outputs
#1,060,806
of 21,479,159 outputs
Outputs from BMC Pharmacology
#2
of 63 outputs
Outputs of similar age
#9,608
of 176,884 outputs
Outputs of similar age from BMC Pharmacology
#1
of 1 outputs
Altmetric has tracked 21,479,159 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 63 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 176,884 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 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