You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Automatic Crime Prediction Using Events Extracted from Twitter Posts
|
---|---|
Chapter number | 28 |
Book title |
Social Computing, Behavioral - Cultural Modeling and Prediction
|
Published in |
Lecture notes in computer science, April 2012
|
DOI | 10.1007/978-3-642-29047-3_28 |
Book ISBNs |
978-3-64-229046-6, 978-3-64-229047-3
|
Authors |
Donald E. Brown, Xiaofeng Wang, Matthew S. Gerber |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Bangladesh | 1 | <1% |
Netherlands | 1 | <1% |
Switzerland | 1 | <1% |
Japan | 1 | <1% |
Russia | 1 | <1% |
Unknown | 237 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 56 | 23% |
Student > Ph. D. Student | 46 | 19% |
Researcher | 31 | 13% |
Student > Bachelor | 29 | 12% |
Student > Doctoral Student | 14 | 6% |
Other | 30 | 12% |
Unknown | 40 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 111 | 45% |
Social Sciences | 21 | 9% |
Engineering | 21 | 9% |
Mathematics | 11 | 4% |
Business, Management and Accounting | 8 | 3% |
Other | 30 | 12% |
Unknown | 44 | 18% |
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 03 March 2016.
All research outputs
#13,376,862
of 22,694,633 outputs
Outputs from Lecture notes in computer science
#3,988
of 8,124 outputs
Outputs of similar age
#89,462
of 161,159 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 17 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 49th percentile – i.e., 49% 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 161,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.