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“Intelligent” finance and treasury management: what we can expect

Overview of attention for article published in AI & SOCIETY, October 2019
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Mentioned by

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1 X user

Citations

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39 Dimensions

Readers on

mendeley
204 Mendeley
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Title
“Intelligent” finance and treasury management: what we can expect
Published in
AI & SOCIETY, October 2019
DOI 10.1007/s00146-019-00919-6
Authors

Petr Polak, Christof Nelischer, Haochen Guo, David C. Robertson

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

Geographical breakdown

Country Count As %
Unknown 204 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 14%
Student > Ph. D. Student 14 7%
Student > Bachelor 13 6%
Unspecified 11 5%
Researcher 6 3%
Other 32 16%
Unknown 100 49%
Readers by discipline Count As %
Business, Management and Accounting 26 13%
Computer Science 20 10%
Engineering 15 7%
Unspecified 12 6%
Economics, Econometrics and Finance 9 4%
Other 16 8%
Unknown 106 52%
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 14 October 2019.
All research outputs
#16,454,538
of 24,217,893 outputs
Outputs from AI & SOCIETY
#511
of 760 outputs
Outputs of similar age
#222,566
of 357,110 outputs
Outputs of similar age from AI & SOCIETY
#6
of 9 outputs
Altmetric has tracked 24,217,893 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 760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 17th percentile – i.e., 17% 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 357,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.