↓ Skip to main content

Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification

Overview of attention for article published in BMC Medical Research Methodology, September 2021
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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
23 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
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
Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification
Published in
BMC Medical Research Methodology, September 2021
DOI 10.1186/s12874-021-01373-z
Pubmed ID
Authors

Lorena Hafermann, Heiko Becher, Carolin Herrmann, Nadja Klein, Georg Heinze, Geraldine Rauch

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Student > Doctoral Student 2 9%
Other 2 9%
Student > Bachelor 2 9%
Student > Ph. D. Student 1 4%
Other 4 17%
Unknown 9 39%
Readers by discipline Count As %
Nursing and Health Professions 4 17%
Veterinary Science and Veterinary Medicine 2 9%
Engineering 2 9%
Sports and Recreations 2 9%
Unspecified 1 4%
Other 3 13%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 08 October 2021.
All research outputs
#2,611,227
of 25,551,063 outputs
Outputs from BMC Medical Research Methodology
#385
of 2,296 outputs
Outputs of similar age
#58,443
of 436,439 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 55 outputs
Altmetric has tracked 25,551,063 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 83% 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 436,439 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.