Title |
Exploring crime patterns in Mexico City
|
---|---|
Published in |
Journal of Big Data, July 2019
|
DOI | 10.1186/s40537-019-0228-x |
Authors |
C. A. Piña-García, Leticia Ramírez-Ramírez |
X Demographics
The data shown below were collected from the profiles of 106 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 51 | 48% |
Spain | 5 | 5% |
Colombia | 2 | 2% |
El Salvador | 1 | <1% |
United States | 1 | <1% |
China | 1 | <1% |
Hungary | 1 | <1% |
Canada | 1 | <1% |
Venezuela, Bolivarian Republic of | 1 | <1% |
Other | 2 | 2% |
Unknown | 40 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 96 | 91% |
Scientists | 8 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 71 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 14% |
Researcher | 9 | 13% |
Student > Bachelor | 9 | 13% |
Professor | 5 | 7% |
Student > Ph. D. Student | 4 | 6% |
Other | 14 | 20% |
Unknown | 20 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 14% |
Business, Management and Accounting | 7 | 10% |
Engineering | 6 | 8% |
Social Sciences | 4 | 6% |
Medicine and Dentistry | 3 | 4% |
Other | 15 | 21% |
Unknown | 26 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 86. 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 17 December 2020.
All research outputs
#505,786
of 25,820,938 outputs
Outputs from Journal of Big Data
#10
of 397 outputs
Outputs of similar age
#10,286
of 360,120 outputs
Outputs of similar age from Journal of Big Data
#3
of 21 outputs
Altmetric has tracked 25,820,938 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 97% 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 360,120 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 97% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.