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Defensible inferences from a nested sequence of logistic regressions: a guide for the perplexed

Overview of attention for article published in Large-scale Assessments in Education, July 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Readers on

mendeley
4 Mendeley
Title
Defensible inferences from a nested sequence of logistic regressions: a guide for the perplexed
Published in
Large-scale Assessments in Education, July 2021
DOI 10.1186/s40536-021-00111-7
Authors

Gulsah Gurkan, Yoav Benjamini, Henry Braun

Twitter Demographics

The data shown below were collected from the profiles of 2 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Student > Postgraduate 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Social Sciences 2 50%
Mathematics 1 25%
Unknown 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 August 2021.
All research outputs
#12,685,212
of 19,315,352 outputs
Outputs from Large-scale Assessments in Education
#100
of 111 outputs
Outputs of similar age
#192,113
of 338,756 outputs
Outputs of similar age from Large-scale Assessments in Education
#1
of 1 outputs
Altmetric has tracked 19,315,352 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 111 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 338,756 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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