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Theories in Business and Information Systems Engineering

Overview of attention for article published in Business & Information Systems Engineering, June 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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29 Dimensions

Readers on

mendeley
165 Mendeley
Title
Theories in Business and Information Systems Engineering
Published in
Business & Information Systems Engineering, June 2016
DOI 10.1007/s12599-016-0439-z
Authors

Martin Bichler, Ulrich Frank, David Avison, Julien Malaurent, Peter Fettke, Dirk Hovorka, Jan Krämer, Daniel Schnurr, Benjamin Müller, Leena Suhl, Bernhard Thalheim

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Switzerland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 158 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 22%
Student > Ph. D. Student 34 21%
Student > Doctoral Student 18 11%
Researcher 17 10%
Professor > Associate Professor 8 5%
Other 26 16%
Unknown 25 15%
Readers by discipline Count As %
Computer Science 52 32%
Business, Management and Accounting 49 30%
Economics, Econometrics and Finance 7 4%
Engineering 6 4%
Medicine and Dentistry 4 2%
Other 16 10%
Unknown 31 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 June 2016.
All research outputs
#14,267,420
of 22,879,161 outputs
Outputs from Business & Information Systems Engineering
#146
of 317 outputs
Outputs of similar age
#201,696
of 352,770 outputs
Outputs of similar age from Business & Information Systems Engineering
#1
of 2 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 317 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 49th percentile – i.e., 49% 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 352,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them