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Examining user behavior with machine learning for effective mobile peer-to-peer payment adoption

Overview of attention for article published in Financial Innovation, March 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
33 Mendeley
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Title
Examining user behavior with machine learning for effective mobile peer-to-peer payment adoption
Published in
Financial Innovation, March 2024
DOI 10.1186/s40854-024-00625-3
Authors

Blanco-Oliver Antonio, Lara-Rubio Juan, Irimia-Diéguez Ana, Liébana-Cabanillas Francisco

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 12%
Student > Ph. D. Student 3 9%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Librarian 1 3%
Other 2 6%
Unknown 21 64%
Readers by discipline Count As %
Unspecified 4 12%
Business, Management and Accounting 2 6%
Economics, Econometrics and Finance 2 6%
Linguistics 1 3%
Arts and Humanities 1 3%
Other 2 6%
Unknown 21 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 March 2024.
All research outputs
#8,513,208
of 25,593,129 outputs
Outputs from Financial Innovation
#61
of 246 outputs
Outputs of similar age
#80,348
of 253,439 outputs
Outputs of similar age from Financial Innovation
#2
of 30 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 246 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 253,439 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.