↓ Skip to main content

Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments

Overview of attention for article published in Computational and Mathematical Organization Theory, October 2011
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#30 of 103)
  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
167 Dimensions

Readers on

mendeley
185 Mendeley
citeulike
2 CiteULike
Title
Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments
Published in
Computational and Mathematical Organization Theory, October 2011
DOI 10.1007/s10588-011-9097-3
Authors

Iris Lorscheid, Bernd-Oliver Heine, Matthias Meyer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Japan 1 <1%
Unknown 178 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 29%
Student > Master 30 16%
Researcher 28 15%
Professor 12 6%
Student > Doctoral Student 11 6%
Other 29 16%
Unknown 22 12%
Readers by discipline Count As %
Engineering 26 14%
Agricultural and Biological Sciences 21 11%
Business, Management and Accounting 18 10%
Environmental Science 18 10%
Economics, Econometrics and Finance 17 9%
Other 50 27%
Unknown 35 19%
Attention Score in Context

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 24 October 2023.
All research outputs
#7,811,021
of 25,018,122 outputs
Outputs from Computational and Mathematical Organization Theory
#30
of 103 outputs
Outputs of similar age
#45,498
of 145,502 outputs
Outputs of similar age from Computational and Mathematical Organization Theory
#2
of 4 outputs
Altmetric has tracked 25,018,122 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 70% 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 145,502 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 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.