↓ Skip to main content

Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data

Overview of attention for article published in American Journal of Political Science, December 2021
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
2 policy sources
twitter
150 X users
reddit
2 Redditors

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
379 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
Matching Methods for Causal Inference with Time‐Series Cross‐Sectional Data
Published in
American Journal of Political Science, December 2021
DOI 10.1111/ajps.12685
Authors

Kosuke Imai, In Song Kim, Erik H. Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 150 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 379 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 379 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 34%
Student > Master 35 9%
Researcher 32 8%
Student > Doctoral Student 26 7%
Professor > Associate Professor 22 6%
Other 55 15%
Unknown 80 21%
Readers by discipline Count As %
Social Sciences 106 28%
Economics, Econometrics and Finance 66 17%
Business, Management and Accounting 38 10%
Medicine and Dentistry 15 4%
Environmental Science 12 3%
Other 47 12%
Unknown 95 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 125. 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 28 December 2023.
All research outputs
#336,983
of 25,584,565 outputs
Outputs from American Journal of Political Science
#92
of 1,703 outputs
Outputs of similar age
#8,973
of 515,737 outputs
Outputs of similar age from American Journal of Political Science
#1
of 24 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one has done particularly well, scoring higher than 94% 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 515,737 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 98% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.