| Title |
A new methodology to measure faultlines at scale leveraging digital traces
|
|---|---|
| Published in |
EPJ Data Science, July 2022
|
| DOI | 10.1140/epjds/s13688-022-00350-w |
| Authors |
Amir Mehrjoo, Rubén Cuevas, Ángel Cuevas |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 18% |
| Lecturer | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 4 | 24% |
| Engineering | 2 | 12% |
| Computer Science | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Sports and Recreations | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 July 2022.
All research outputs
#14,858,030
of 22,882,389 outputs
Outputs from EPJ Data Science
#359
of 376 outputs
Outputs of similar age
#221,486
of 434,963 outputs
Outputs of similar age from EPJ Data Science
#12
of 17 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one is in the 3rd percentile – i.e., 3% 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 434,963 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.