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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A machine learning analysis of serious misconduct among Australian police
|
|---|---|
| Published in |
Crime Science, October 2020
|
| DOI | 10.1186/s40163-020-00133-6 |
| Authors |
Timothy I. C. Cubitt, Ken R. Wooden, Karl A. Roberts |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 11 | 31% |
| United Kingdom | 5 | 14% |
| Mexico | 2 | 6% |
| United States | 2 | 6% |
| Spain | 1 | 3% |
| Netherlands | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 12 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 69% |
| Scientists | 9 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
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 > Bachelor | 5 | 21% |
| Unspecified | 2 | 8% |
| Other | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 29% |
| Unspecified | 2 | 8% |
| Mathematics | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 9 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 18 April 2023.
All research outputs
#1,256,091
of 25,721,020 outputs
Outputs from Crime Science
#23
of 208 outputs
Outputs of similar age
#33,148
of 442,238 outputs
Outputs of similar age from Crime Science
#2
of 10 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done well, scoring higher than 88% 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 442,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% 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. This one has scored higher than 8 of them.