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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy
|
|---|---|
| Published in |
PLOS ONE, September 2022
|
| DOI | 10.1371/journal.pone.0274172 |
| Pubmed ID | |
| Authors |
Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Tieng Wei Koh |
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 % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 10% |
| Unspecified | 2 | 7% |
| Lecturer | 1 | 3% |
| Other | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 21 | 70% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 13% |
| Unspecified | 2 | 7% |
| Computer Science | 2 | 7% |
| Mathematics | 1 | 3% |
| Unknown | 21 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 October 2022.
All research outputs
#2,810,304
of 23,493,900 outputs
Outputs from PLOS ONE
#35,731
of 201,127 outputs
Outputs of similar age
#58,389
of 433,874 outputs
Outputs of similar age from PLOS ONE
#817
of 5,091 outputs
Altmetric has tracked 23,493,900 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,127 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 81% 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 433,874 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 86% of its contemporaries.
We're also able to compare this research output to 5,091 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.