↓ 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 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters

Citations

dimensions_citation
233 Dimensions

Readers on

mendeley
448 Mendeley
citeulike
3 CiteULike
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 8 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 448 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Brazil 5 1%
Australia 3 <1%
Germany 3 <1%
France 2 <1%
United Kingdom 2 <1%
Japan 2 <1%
Switzerland 2 <1%
Sweden 2 <1%
Other 10 2%
Unknown 412 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 130 29%
Student > Master 83 19%
Researcher 81 18%
Unspecified 26 6%
Student > Doctoral Student 25 6%
Other 103 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 124 28%
Unspecified 69 15%
Engineering 56 13%
Environmental Science 45 10%
Earth and Planetary Sciences 19 4%
Other 135 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 May 2019.
All research outputs
#1,110,584
of 13,139,039 outputs
Outputs from BMC Pharmacology
#2
of 56 outputs
Outputs of similar age
#15,219
of 156,595 outputs
Outputs of similar age from BMC Pharmacology
#1
of 1 outputs
Altmetric has tracked 13,139,039 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 56 research outputs from this source. They receive a mean Attention Score of 3.6. 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 156,595 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 90% 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