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Robotic process automation

Overview of attention for article published in Electronic Markets, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
5 tweeters

Readers on

mendeley
118 Mendeley
Title
Robotic process automation
Published in
Electronic Markets, November 2019
DOI 10.1007/s12525-019-00365-8
Authors

Peter Hofmann, Caroline Samp, Nils Urbach

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 31%
Student > Bachelor 24 20%
Researcher 10 8%
Student > Postgraduate 6 5%
Student > Ph. D. Student 5 4%
Other 16 14%
Unknown 20 17%
Readers by discipline Count As %
Business, Management and Accounting 37 31%
Computer Science 22 19%
Engineering 15 13%
Economics, Econometrics and Finance 11 9%
Unspecified 3 3%
Other 7 6%
Unknown 23 19%

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 06 November 2019.
All research outputs
#3,877,038
of 13,989,129 outputs
Outputs from Electronic Markets
#63
of 359 outputs
Outputs of similar age
#97,488
of 273,413 outputs
Outputs of similar age from Electronic Markets
#5
of 13 outputs
Altmetric has tracked 13,989,129 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 359 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 82% 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 273,413 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 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.