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The validity of computational models in organization science: From model realism to purpose of the model

Overview of attention for article published in Computational and Mathematical Organization Theory, October 1995
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
133 Dimensions

Readers on

mendeley
111 Mendeley
citeulike
1 CiteULike
Title
The validity of computational models in organization science: From model realism to purpose of the model
Published in
Computational and Mathematical Organization Theory, October 1995
DOI 10.1007/bf01307828
Authors

Richard M. Burton, Børge Obel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
United Kingdom 2 2%
Germany 1 <1%
Taiwan 1 <1%
Canada 1 <1%
Japan 1 <1%
Mexico 1 <1%
Unknown 99 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 37%
Researcher 13 12%
Professor > Associate Professor 10 9%
Student > Master 10 9%
Professor 8 7%
Other 19 17%
Unknown 10 9%
Readers by discipline Count As %
Business, Management and Accounting 45 41%
Engineering 17 15%
Computer Science 12 11%
Social Sciences 7 6%
Psychology 4 4%
Other 11 10%
Unknown 15 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2008.
All research outputs
#7,917,073
of 23,854,458 outputs
Outputs from Computational and Mathematical Organization Theory
#30
of 96 outputs
Outputs of similar age
#7,393
of 24,788 outputs
Outputs of similar age from Computational and Mathematical Organization Theory
#1
of 2 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 96 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 48th percentile – i.e., 48% 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 24,788 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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