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The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?

Overview of attention for article published in BMC Neuroscience, January 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 1,298)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
2 blogs
twitter
28 X users
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
244 Dimensions

Readers on

mendeley
659 Mendeley
citeulike
9 CiteULike
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Title
The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?
Published in
BMC Neuroscience, January 2010
DOI 10.1186/1471-2202-11-5
Pubmed ID
Authors

Stanley E Lazic

Abstract

Pseudoreplication occurs when observations are not statistically independent, but treated as if they are. This can occur when there are multiple observations on the same subjects, when samples are nested or hierarchically organised, or when measurements are correlated in time or space. Analysis of such data without taking these dependencies into account can lead to meaningless results, and examples can easily be found in the neuroscience literature.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 659 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 2%
Germany 12 2%
France 5 <1%
Brazil 5 <1%
United Kingdom 5 <1%
Sweden 4 <1%
Canada 4 <1%
Switzerland 2 <1%
Netherlands 2 <1%
Other 19 3%
Unknown 587 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 157 24%
Researcher 152 23%
Student > Master 87 13%
Student > Bachelor 47 7%
Student > Doctoral Student 30 5%
Other 119 18%
Unknown 67 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 240 36%
Medicine and Dentistry 63 10%
Neuroscience 57 9%
Biochemistry, Genetics and Molecular Biology 45 7%
Psychology 43 7%
Other 118 18%
Unknown 93 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 17 January 2024.
All research outputs
#1,190,026
of 25,489,496 outputs
Outputs from BMC Neuroscience
#20
of 1,298 outputs
Outputs of similar age
#4,762
of 174,301 outputs
Outputs of similar age from BMC Neuroscience
#1
of 8 outputs
Altmetric has tracked 25,489,496 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 1,298 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 98% 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 174,301 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 97% of its contemporaries.
We're also able to compare this research output to 8 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