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A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Non-normal Data in Causal Modeling: A Tutorial With the ALMOND Package in R

Overview of attention for article published in Frontiers in Psychology, February 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
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Title
A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Non-normal Data in Causal Modeling: A Tutorial With the ALMOND Package in R
Published in
Frontiers in Psychology, February 2020
DOI 10.3389/fpsyg.2020.00169
Pubmed ID
Authors

Dingjing Shi, Xin Tong, M. Joseph Meyer

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 15%
Student > Ph. D. Student 3 15%
Researcher 3 15%
Student > Bachelor 2 10%
Professor > Associate Professor 2 10%
Other 4 20%
Unknown 3 15%
Readers by discipline Count As %
Psychology 5 25%
Social Sciences 3 15%
Agricultural and Biological Sciences 2 10%
Economics, Econometrics and Finance 2 10%
Nursing and Health Professions 1 5%
Other 3 15%
Unknown 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 February 2020.
All research outputs
#13,835,744
of 24,241,559 outputs
Outputs from Frontiers in Psychology
#12,655
of 32,598 outputs
Outputs of similar age
#170,365
of 364,532 outputs
Outputs of similar age from Frontiers in Psychology
#338
of 670 outputs
Altmetric has tracked 24,241,559 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,598 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 60% 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 364,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 670 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.