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Can tools help unify organization theory? Perspectives on the state of computational modeling

Overview of attention for article published in Computational and Mathematical Organization Theory, August 2006
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Mentioned by

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1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
48 Mendeley
connotea
1 Connotea
Title
Can tools help unify organization theory? Perspectives on the state of computational modeling
Published in
Computational and Mathematical Organization Theory, August 2006
DOI 10.1007/s10588-006-9000-9
Authors

Michael J. Ashworth, Kathleen M. Carley

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 1 2%
Italy 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Master 7 15%
Researcher 5 10%
Lecturer 4 8%
Student > Bachelor 3 6%
Other 9 19%
Unknown 9 19%
Readers by discipline Count As %
Business, Management and Accounting 10 21%
Computer Science 7 15%
Engineering 6 13%
Psychology 6 13%
Agricultural and Biological Sciences 4 8%
Other 6 13%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 January 2015.
All research outputs
#21,358,731
of 23,854,458 outputs
Outputs from Computational and Mathematical Organization Theory
#91
of 96 outputs
Outputs of similar age
#65,904
of 67,990 outputs
Outputs of similar age from Computational and Mathematical Organization Theory
#3
of 5 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 67,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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.