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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
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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
twitter
156 tweeters
reddit
2 Redditors

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
296 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 156 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 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 296 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 36%
Student > Master 28 9%
Student > Doctoral Student 24 8%
Researcher 23 8%
Professor > Associate Professor 16 5%
Other 48 16%
Unknown 50 17%
Readers by discipline Count As %
Social Sciences 85 29%
Economics, Econometrics and Finance 53 18%
Business, Management and Accounting 30 10%
Medicine and Dentistry 13 4%
Environmental Science 10 3%
Other 42 14%
Unknown 63 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 128. 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 2022.
All research outputs
#266,976
of 22,577,901 outputs
Outputs from American Journal of Political Science
#72
of 1,487 outputs
Outputs of similar age
#9,075
of 518,657 outputs
Outputs of similar age from American Journal of Political Science
#1
of 17 outputs
Altmetric has tracked 22,577,901 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 1,487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.4. This one has done particularly well, scoring higher than 95% 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 518,657 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 17 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.