| Title |
Leveraging change point detection to discover natural experiments in data
|
|---|---|
| Published in |
EPJ Data Science, September 2022
|
| DOI | 10.1140/epjds/s13688-022-00361-7 |
| Pubmed ID | |
| Authors |
Yuzi He, Keith A. Burghardt, Kristina Lerman |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Mexico | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 75% |
| Members of the public | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 43% |
| Professor > Associate Professor | 1 | 14% |
| Other | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 43% |
| Economics, Econometrics and Finance | 1 | 14% |
| Neuroscience | 1 | 14% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 September 2022.
All research outputs
#6,932,924
of 24,777,509 outputs
Outputs from EPJ Data Science
#326
of 418 outputs
Outputs of similar age
#125,242
of 422,995 outputs
Outputs of similar age from EPJ Data Science
#9
of 10 outputs
Altmetric has tracked 24,777,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.8. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 422,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.