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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Abusive Language Detection in Online Conversations by Combining Content- and Graph-Based Features
|
---|---|
Published in |
arXiv, June 2019
|
DOI | 10.3389/fdata.2019.00008 |
Pubmed ID | |
Authors |
Noé Cécillon, Vincent Labatut, Richard Dufour, Georges Linarès |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 20% |
Student > Ph. D. Student | 7 | 16% |
Student > Bachelor | 6 | 13% |
Researcher | 5 | 11% |
Professor > Associate Professor | 2 | 4% |
Other | 2 | 4% |
Unknown | 14 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 47% |
Business, Management and Accounting | 3 | 7% |
Linguistics | 3 | 7% |
Engineering | 2 | 4% |
Social Sciences | 1 | 2% |
Other | 1 | 2% |
Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 June 2019.
All research outputs
#13,411,687
of 23,148,322 outputs
Outputs from arXiv
#213,326
of 952,387 outputs
Outputs of similar age
#169,852
of 352,411 outputs
Outputs of similar age from arXiv
#6,770
of 28,206 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952,387 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 352,411 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 28,206 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.