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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Like trainer, like bot? Inheritance of bias in algorithmic content
moderation
|
---|---|
Chapter number | 32 |
Book title |
Social Informatics
|
Published in |
arXiv, July 2017
|
DOI | 10.1007/978-3-319-67256-4_32 |
Book ISBNs |
978-3-31-967255-7, 978-3-31-967256-4
|
Authors |
Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt, Binns, Reuben, Veale, Michael, Van Kleek, Max, Shadbolt, Nigel |
X Demographics
The data shown below were collected from the profiles of 66 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 19 | 29% |
United States | 12 | 18% |
Germany | 3 | 5% |
Brazil | 2 | 3% |
France | 1 | 2% |
Canada | 1 | 2% |
Finland | 1 | 2% |
Netherlands | 1 | 2% |
Estonia | 1 | 2% |
Other | 2 | 3% |
Unknown | 23 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 41 | 62% |
Scientists | 18 | 27% |
Science communicators (journalists, bloggers, editors) | 6 | 9% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 124 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 18% |
Student > Master | 18 | 15% |
Student > Bachelor | 17 | 14% |
Researcher | 10 | 8% |
Student > Doctoral Student | 7 | 6% |
Other | 18 | 15% |
Unknown | 32 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 28% |
Social Sciences | 31 | 25% |
Arts and Humanities | 8 | 6% |
Psychology | 4 | 3% |
Business, Management and Accounting | 3 | 2% |
Other | 11 | 9% |
Unknown | 32 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 138. 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 20 January 2024.
All research outputs
#306,521
of 25,820,938 outputs
Outputs from arXiv
#3,429
of 947,372 outputs
Outputs of similar age
#6,370
of 326,887 outputs
Outputs of similar age from arXiv
#70
of 15,785 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 947,372 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 326,887 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 98% of its contemporaries.
We're also able to compare this research output to 15,785 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 99% of its contemporaries.