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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 (95th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
155 tweeters
reddit
2 Redditors

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
313 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 155 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 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 313 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 109 35%
Student > Master 30 10%
Researcher 25 8%
Student > Doctoral Student 25 8%
Professor > Associate Professor 16 5%
Other 58 19%
Unknown 50 16%
Readers by discipline Count As %
Social Sciences 89 28%
Economics, Econometrics and Finance 54 17%
Business, Management and Accounting 31 10%
Medicine and Dentistry 13 4%
Unspecified 12 4%
Other 51 16%
Unknown 63 20%

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 08 October 2022.
All research outputs
#282,547
of 23,007,887 outputs
Outputs from American Journal of Political Science
#74
of 1,506 outputs
Outputs of similar age
#7,829
of 503,618 outputs
Outputs of similar age from American Journal of Political Science
#2
of 24 outputs
Altmetric has tracked 23,007,887 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 1,506 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 503,618 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 95% of its contemporaries.