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Robotic Process Automation

Overview of attention for article published in Business & Information Systems Engineering, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 374)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

policy
1 policy source
twitter
23 X users
patent
4 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
371 Dimensions

Readers on

mendeley
1102 Mendeley
Title
Robotic Process Automation
Published in
Business & Information Systems Engineering, May 2018
DOI 10.1007/s12599-018-0542-4
Authors

Wil M. P. van der Aalst, Martin Bichler, Armin Heinzl

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 1,102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 246 22%
Student > Bachelor 173 16%
Student > Ph. D. Student 73 7%
Researcher 31 3%
Professor 28 3%
Other 107 10%
Unknown 444 40%
Readers by discipline Count As %
Business, Management and Accounting 200 18%
Computer Science 198 18%
Engineering 113 10%
Economics, Econometrics and Finance 50 5%
Social Sciences 19 2%
Other 55 5%
Unknown 467 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 November 2023.
All research outputs
#1,407,110
of 25,113,446 outputs
Outputs from Business & Information Systems Engineering
#13
of 374 outputs
Outputs of similar age
#30,030
of 333,414 outputs
Outputs of similar age from Business & Information Systems Engineering
#2
of 10 outputs
Altmetric has tracked 25,113,446 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 96% 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 333,414 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 90% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.