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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can we Trust Crime Predictors and Crime Categories? Expansions on the Potential Problem of Generalization
|
|---|---|
| Published in |
Applied Spatial Analysis and Policy, November 2019
|
| DOI | 10.1007/s12061-019-09323-5 |
| Authors |
Nathan T. Connealy |
X Demographics
The data shown below were collected from the profiles of 13 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 | 7 | 54% |
| Canada | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 6 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 5 | 21% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 33% |
| Psychology | 4 | 17% |
| Mathematics | 1 | 4% |
| Computer Science | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 16 April 2023.
All research outputs
#2,779,642
of 25,353,525 outputs
Outputs from Applied Spatial Analysis and Policy
#21
of 250 outputs
Outputs of similar age
#55,764
of 368,190 outputs
Outputs of similar age from Applied Spatial Analysis and Policy
#1
of 3 outputs
Altmetric has tracked 25,353,525 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 250 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 92% 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 368,190 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 84% of its contemporaries.
We're also able to compare this research output to 3 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