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OpenMx 2.0: Extended Structural Equation and Statistical Modeling

Overview of attention for article published in Psychometrika, January 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
802 Dimensions

Readers on

mendeley
253 Mendeley
citeulike
1 CiteULike
Title
OpenMx 2.0: Extended Structural Equation and Statistical Modeling
Published in
Psychometrika, January 2015
DOI 10.1007/s11336-014-9435-8
Pubmed ID
Authors

Michael C. Neale, Michael D. Hunter, Joshua N. Pritikin, Mahsa Zahery, Timothy R. Brick, Robert M. Kirkpatrick, Ryne Estabrook, Timothy C. Bates, Hermine H. Maes, Steven M. Boker

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Macao 1 <1%
United States 1 <1%
Unknown 251 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 24%
Researcher 41 16%
Student > Master 21 8%
Student > Doctoral Student 21 8%
Professor 12 5%
Other 38 15%
Unknown 59 23%
Readers by discipline Count As %
Psychology 68 27%
Medicine and Dentistry 18 7%
Social Sciences 12 5%
Biochemistry, Genetics and Molecular Biology 9 4%
Agricultural and Biological Sciences 9 4%
Other 64 25%
Unknown 73 29%
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 26 June 2015.
All research outputs
#8,882,501
of 25,837,817 outputs
Outputs from Psychometrika
#182
of 545 outputs
Outputs of similar age
#115,356
of 364,934 outputs
Outputs of similar age from Psychometrika
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 545 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 36th percentile – i.e., 36% 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 364,934 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 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