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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Impact of Content Features for Automatic Online Abuse Detection
|
|---|---|
| Chapter number | 30 |
| Book title |
Computational Linguistics and Intelligent Text Processing
|
| Published in |
arXiv, April 2017
|
| DOI | 10.1007/978-3-319-77116-8_30 |
| Book ISBNs |
978-3-31-977115-1, 978-3-31-977116-8
|
| Authors |
Etienne Papegnies, Vincent Labatut, Richard Dufour, Georges Linares, Georges Linarès, Papegnies, Etienne, Labatut, Vincent, Dufour, Richard, Linarès, Georges |
X Demographics
The data shown below were collected from the profiles of 4 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 | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Student > Master | 6 | 18% |
| Researcher | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 35% |
| Social Sciences | 4 | 12% |
| Engineering | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 32% |
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 13 February 2019.
All research outputs
#2,794,600
of 22,953,506 outputs
Outputs from arXiv
#50,005
of 941,790 outputs
Outputs of similar age
#53,232
of 310,016 outputs
Outputs of similar age from arXiv
#1,229
of 17,820 outputs
Altmetric has tracked 22,953,506 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 941,790 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 310,016 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 82% of its contemporaries.
We're also able to compare this research output to 17,820 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.