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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Uncovering Sociological Effect Heterogeneity Using Tree-Based Machine Learning
|
|---|---|
| Published in |
Sociological Methodology, March 2021
|
| DOI | 10.1177/0081175021993503 |
| Pubmed ID | |
| Authors |
Jennie E. Brand, Jiahui Xu, Bernard Koch, Pablo Geraldo |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| Czechia | 1 | 7% |
| Germany | 1 | 7% |
| Spain | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 79% |
| Members of the public | 2 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 23% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 8 | 11% |
| Professor > Associate Professor | 8 | 11% |
| Student > Master | 7 | 9% |
| Other | 6 | 8% |
| Unknown | 20 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 29 | 39% |
| Computer Science | 4 | 5% |
| Psychology | 3 | 4% |
| Economics, Econometrics and Finance | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 23 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 November 2022.
All research outputs
#3,414,494
of 24,820,264 outputs
Outputs from Sociological Methodology
#49
of 235 outputs
Outputs of similar age
#83,740
of 426,813 outputs
Outputs of similar age from Sociological Methodology
#1
of 1 outputs
Altmetric has tracked 24,820,264 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 79% 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 426,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them