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Three different ways to skin a cat: financialization in the emergence of national e-ID solutions

Overview of attention for article published in Journal of Information Technology, April 2017
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

mendeley
225 Mendeley
Title
Three different ways to skin a cat: financialization in the emergence of national e-ID solutions
Published in
Journal of Information Technology, April 2017
DOI 10.1057/s41265-017-0036-8
Authors

Ben Eaton, Jonas Hedman, Rony Medaglia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 16%
Student > Master 32 14%
Student > Doctoral Student 27 12%
Researcher 22 10%
Student > Bachelor 11 5%
Other 40 18%
Unknown 57 25%
Readers by discipline Count As %
Business, Management and Accounting 46 20%
Social Sciences 40 18%
Computer Science 37 16%
Engineering 7 3%
Economics, Econometrics and Finance 6 3%
Other 26 12%
Unknown 63 28%
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 24 April 2017.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from Journal of Information Technology
#144
of 217 outputs
Outputs of similar age
#208,571
of 326,784 outputs
Outputs of similar age from Journal of Information Technology
#5
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 18th percentile – i.e., 18% 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 326,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.