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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 17% |
Belgium | 2 | 9% |
Netherlands | 2 | 9% |
Andorra | 1 | 4% |
Switzerland | 1 | 4% |
Finland | 1 | 4% |
India | 1 | 4% |
Colombia | 1 | 4% |
Italy | 1 | 4% |
Other | 0 | 0% |
Unknown | 9 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 78% |
Scientists | 4 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
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
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.