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Taylor and Francis Online

One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps

Overview of attention for article published in European Journal of Information Systems, July 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 361)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
13 news outlets
blogs
2 blogs
policy
1 policy source
twitter
18 X users

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
223 Mendeley
Title
One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps
Published in
European Journal of Information Systems, July 2020
DOI 10.1080/0960085x.2020.1784046
Authors

Simon Trang, Manuel Trenz, Welf H. Weiger, Monideepa Tarafdar, Christy M.K. Cheung

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 223 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 13%
Student > Master 25 11%
Student > Bachelor 19 9%
Researcher 18 8%
Student > Doctoral Student 14 6%
Other 37 17%
Unknown 82 37%
Readers by discipline Count As %
Business, Management and Accounting 42 19%
Social Sciences 27 12%
Computer Science 23 10%
Engineering 9 4%
Psychology 6 3%
Other 26 12%
Unknown 90 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 123. 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 01 August 2021.
All research outputs
#350,840
of 26,038,372 outputs
Outputs from European Journal of Information Systems
#4
of 361 outputs
Outputs of similar age
#10,745
of 430,475 outputs
Outputs of similar age from European Journal of Information Systems
#1
of 12 outputs
Altmetric has tracked 26,038,372 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 361 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 98% 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 430,475 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 97% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.