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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interpretable machine learning learns complex interactions of urban features to understand socio‐economic inequality
|
|---|---|
| Published in |
Computer-Aided Civil & Infrastructure Engineering, January 2023
|
| DOI | 10.1111/mice.12972 |
| Authors |
Chao Fan, Jeffrey Xu, Barane Yoga Natarajan, Ali Mostafavi |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 17% |
| Arts and Humanities | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Unspecified | 1 | 8% |
| Unknown | 7 | 58% |
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 07 January 2023.
All research outputs
#14,393,608
of 23,504,694 outputs
Outputs from Computer-Aided Civil & Infrastructure Engineering
#154
of 234 outputs
Outputs of similar age
#186,464
of 432,389 outputs
Outputs of similar age from Computer-Aided Civil & Infrastructure Engineering
#1
of 4 outputs
Altmetric has tracked 23,504,694 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 234 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 34th percentile – i.e., 34% 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 432,389 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 55% of its contemporaries.
We're also able to compare this research output to 4 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