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Dynamic Modeling with Structural Equations and Stochastic Differential Equations: Applications with the German Socio-economic Panel

Overview of attention for article published in Quality & Quantity, August 2005
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
17 Mendeley
Title
Dynamic Modeling with Structural Equations and Stochastic Differential Equations: Applications with the German Socio-economic Panel
Published in
Quality & Quantity, August 2005
DOI 10.1007/s11135-005-0239-x
Authors

Jost Reinecke, Peter Schmidt, Stefan Weick

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 18%
Student > Master 3 18%
Student > Postgraduate 2 12%
Student > Ph. D. Student 2 12%
Other 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Psychology 5 29%
Social Sciences 4 24%
Engineering 2 12%
Environmental Science 2 12%
Economics, Econometrics and Finance 1 6%
Other 0 0%
Unknown 3 18%
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 15 January 2013.
All research outputs
#7,499,357
of 22,919,505 outputs
Outputs from Quality & Quantity
#199
of 610 outputs
Outputs of similar age
#20,179
of 57,358 outputs
Outputs of similar age from Quality & Quantity
#1
of 1 outputs
Altmetric has tracked 22,919,505 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 610 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 55% 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 57,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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