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Machine learning and social theory: Collective machine behaviour in algorithmic trading

Overview of attention for article published in European Journal of Social Theory, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
video
1 YouTube creator

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Machine learning and social theory: Collective machine behaviour in algorithmic trading
Published in
European Journal of Social Theory, November 2021
DOI 10.1177/13684310211056010
Authors

Christian Borch

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 7%
Lecturer 2 7%
Other 7 24%
Unknown 8 28%
Readers by discipline Count As %
Social Sciences 5 17%
Computer Science 3 10%
Business, Management and Accounting 3 10%
Arts and Humanities 3 10%
Engineering 2 7%
Other 4 14%
Unknown 9 31%
Attention Score in Context

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 15 August 2022.
All research outputs
#15,797,324
of 23,464,797 outputs
Outputs from European Journal of Social Theory
#235
of 367 outputs
Outputs of similar age
#251,192
of 441,000 outputs
Outputs of similar age from European Journal of Social Theory
#4
of 5 outputs
Altmetric has tracked 23,464,797 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 367 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 24th percentile – i.e., 24% 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 441,000 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.