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X Demographics
Mendeley readers
Attention Score in Context
| 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
The data shown below were collected from the profiles of 151 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 24 | 16% |
| United Kingdom | 9 | 6% |
| Mexico | 5 | 3% |
| Norway | 4 | 3% |
| Turkey | 4 | 3% |
| Brazil | 4 | 3% |
| Italy | 3 | 2% |
| Australia | 3 | 2% |
| Spain | 2 | 1% |
| Other | 23 | 15% |
| Unknown | 70 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 102 | 68% |
| Scientists | 46 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 380 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 130 | 34% |
| Student > Master | 35 | 9% |
| Researcher | 32 | 8% |
| Student > Doctoral Student | 25 | 7% |
| Professor > Associate Professor | 22 | 6% |
| Other | 56 | 15% |
| Unknown | 80 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 110 | 29% |
| Economics, Econometrics and Finance | 65 | 17% |
| Business, Management and Accounting | 37 | 10% |
| Medicine and Dentistry | 15 | 4% |
| Environmental Science | 12 | 3% |
| Other | 46 | 12% |
| Unknown | 95 | 25% |
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 11 April 2024.
All research outputs
#339,919
of 25,765,370 outputs
Outputs from American Journal of Political Science
#92
of 1,742 outputs
Outputs of similar age
#9,049
of 518,118 outputs
Outputs of similar age from American Journal of Political Science
#1
of 24 outputs
Altmetric has tracked 25,765,370 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 1,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.6. 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 518,118 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.