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Machines that make and keep promises - Lessons for contract automation from algorithmic trading on financial markets

Overview of attention for article published in Computer Law & Security Review, September 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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4 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Machines that make and keep promises - Lessons for contract automation from algorithmic trading on financial markets
Published in
Computer Law & Security Review, September 2022
DOI 10.1016/j.clsr.2022.105717
Authors

Maria José Schmidt-Kessen, Helen Eenmaa, Maya Mitre

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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 10%
Researcher 2 5%
Other 2 5%
Lecturer 2 5%
Student > Doctoral Student 1 3%
Other 6 15%
Unknown 22 56%
Readers by discipline Count As %
Engineering 4 10%
Business, Management and Accounting 3 8%
Economics, Econometrics and Finance 3 8%
Philosophy 2 5%
Social Sciences 2 5%
Other 2 5%
Unknown 23 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 July 2022.
All research outputs
#16,063,069
of 25,392,582 outputs
Outputs from Computer Law & Security Review
#389
of 529 outputs
Outputs of similar age
#216,129
of 429,605 outputs
Outputs of similar age from Computer Law & Security Review
#15
of 16 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. 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 429,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.