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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The causal interpretation of estimated associations in regression models
|
|---|---|
| Published in |
Political Science Research and Methods, July 2019
|
| DOI | 10.1017/psrm.2019.31 |
| Authors |
Luke Keele, Randolph T. Stevenson, Felix Elwert |
X Demographics
The data shown below were collected from the profiles of 253 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 | 55 | 22% |
| United Kingdom | 15 | 6% |
| Japan | 14 | 6% |
| Germany | 11 | 4% |
| Mexico | 7 | 3% |
| Brazil | 5 | 2% |
| Spain | 5 | 2% |
| Korea, Republic of | 4 | 2% |
| Canada | 4 | 2% |
| Other | 31 | 12% |
| Unknown | 102 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 126 | 50% |
| Scientists | 112 | 44% |
| Science communicators (journalists, bloggers, editors) | 6 | 2% |
| Practitioners (doctors, other healthcare professionals) | 3 | 1% |
| Unknown | 6 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 212 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 25% |
| Researcher | 30 | 14% |
| Student > Master | 28 | 13% |
| Student > Bachelor | 12 | 6% |
| Professor | 10 | 5% |
| Other | 37 | 17% |
| Unknown | 41 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 102 | 48% |
| Economics, Econometrics and Finance | 19 | 9% |
| Psychology | 9 | 4% |
| Business, Management and Accounting | 8 | 4% |
| Medicine and Dentistry | 6 | 3% |
| Other | 20 | 9% |
| Unknown | 48 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 163. 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 02 February 2024.
All research outputs
#255,257
of 25,765,370 outputs
Outputs from Political Science Research and Methods
#11
of 551 outputs
Outputs of similar age
#4,830
of 360,262 outputs
Outputs of similar age from Political Science Research and Methods
#1
of 12 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 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done particularly well, scoring higher than 98% 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 360,262 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 12 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 91% of its contemporaries.