↓ Skip to main content

A Review of R-packages for Random-Intercept Probit Regression in Small Clusters

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, October 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
24 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
A Review of R-packages for Random-Intercept Probit Regression in Small Clusters
Published in
Frontiers in Applied Mathematics and Statistics, October 2016
DOI 10.3389/fams.2016.00018
Authors

Haeike Josephy, Tom Loeys, Yves Rosseel

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 4%
Brazil 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 38%
Researcher 3 13%
Professor 2 8%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 1 4%
Unknown 5 21%
Readers by discipline Count As %
Mathematics 4 17%
Social Sciences 3 13%
Business, Management and Accounting 2 8%
Medicine and Dentistry 2 8%
Chemistry 2 8%
Other 6 25%
Unknown 5 21%
Attention Score in Context

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 22 January 2017.
All research outputs
#14,864,294
of 22,893,031 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#119
of 339 outputs
Outputs of similar age
#191,751
of 319,475 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#3
of 9 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 339 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 58% 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 319,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.