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.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Using KNN and SVM Based One-Class Classifier for Detecting Online Radicalization on Twitter
|
---|---|
Chapter number | 47 |
Book title |
Distributed Computing and Internet Technology
|
Published in |
Lecture notes in computer science, February 2015
|
DOI | 10.1007/978-3-319-14977-6_47 |
Book ISBNs |
978-3-31-914976-9, 978-3-31-914977-6
|
Authors |
Swati Agarwal, Ashish Sureka |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 1% |
United States | 1 | <1% |
Malaysia | 1 | <1% |
Unknown | 131 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 18% |
Researcher | 21 | 16% |
Student > Master | 16 | 12% |
Student > Bachelor | 10 | 7% |
Lecturer | 9 | 7% |
Other | 16 | 12% |
Unknown | 39 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 58 | 43% |
Social Sciences | 7 | 5% |
Engineering | 5 | 4% |
Business, Management and Accounting | 4 | 3% |
Psychology | 3 | 2% |
Other | 14 | 10% |
Unknown | 44 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 February 2015.
All research outputs
#18,393,912
of 22,783,848 outputs
Outputs from Lecture notes in computer science
#6,005
of 8,124 outputs
Outputs of similar age
#256,511
of 352,173 outputs
Outputs of similar age from Lecture notes in computer science
#174
of 229 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 14th percentile – i.e., 14% 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 352,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.