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Virtual Customer Assistants in finance: From state of the art and practices to design guidelines

Overview of attention for article published in Computer Science Review, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Virtual Customer Assistants in finance: From state of the art and practices to design guidelines
Published in
Computer Science Review, February 2023
DOI 10.1016/j.cosrev.2023.100534
Authors

Andrea Iovine, Fedelucio Narducci, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro

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

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 7%
Other 3 7%
Student > Master 2 5%
Lecturer > Senior Lecturer 1 2%
Lecturer 1 2%
Other 4 10%
Unknown 27 66%
Readers by discipline Count As %
Business, Management and Accounting 3 7%
Economics, Econometrics and Finance 3 7%
Computer Science 2 5%
Unspecified 1 2%
Arts and Humanities 1 2%
Other 3 7%
Unknown 28 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 January 2023.
All research outputs
#14,271,061
of 25,392,582 outputs
Outputs from Computer Science Review
#87
of 145 outputs
Outputs of similar age
#173,559
of 471,974 outputs
Outputs of similar age from Computer Science Review
#3
of 5 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 40th percentile – i.e., 40% 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 471,974 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 63% of its contemporaries.
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. This one has scored higher than 2 of them.