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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning for Social Science: An Agnostic Approach
|
|---|---|
| Published in |
Annual Review of Political Science, March 2021
|
| DOI | 10.1146/annurev-polisci-053119-015921 |
| Authors |
Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart |
X Demographics
The data shown below were collected from the profiles of 111 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 | 23 | 21% |
| Turkey | 6 | 5% |
| United Kingdom | 6 | 5% |
| Switzerland | 4 | 4% |
| Brazil | 4 | 4% |
| Netherlands | 3 | 3% |
| Mexico | 3 | 3% |
| India | 3 | 3% |
| Portugal | 2 | 2% |
| Other | 16 | 14% |
| Unknown | 41 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 61 | 55% |
| Scientists | 44 | 40% |
| Science communicators (journalists, bloggers, editors) | 5 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 378 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 19% |
| Researcher | 42 | 11% |
| Student > Master | 35 | 9% |
| Student > Bachelor | 25 | 7% |
| Student > Doctoral Student | 19 | 5% |
| Other | 54 | 14% |
| Unknown | 132 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 128 | 34% |
| Computer Science | 22 | 6% |
| Business, Management and Accounting | 14 | 4% |
| Economics, Econometrics and Finance | 13 | 3% |
| Psychology | 12 | 3% |
| Other | 45 | 12% |
| Unknown | 144 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 22 April 2023.
All research outputs
#567,421
of 25,721,020 outputs
Outputs from Annual Review of Political Science
#73
of 536 outputs
Outputs of similar age
#16,705
of 454,109 outputs
Outputs of similar age from Annual Review of Political Science
#3
of 8 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 536 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.6. This one has done well, scoring higher than 86% 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 454,109 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 96% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.