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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 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
93 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

Twitter Demographics

The data shown below were collected from the profiles of 2 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 1%
Unknown 92 99%
Readers by discipline Count As %
Computer Science 1 1%
Unknown 92 99%

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
#7,243,777
of 12,550,261 outputs
Outputs from Business & Information Systems Engineering
#63
of 105 outputs
Outputs of similar age
#120,156
of 260,207 outputs
Outputs of similar age from Business & Information Systems Engineering
#1
of 2 outputs
Altmetric has tracked 12,550,261 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 105 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 260,207 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 50% of its contemporaries.
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