↓ Skip to main content

A Newton-Raphson algorithm for maximum likelihood factor analysis

Overview of attention for article published in Psychometrika, March 1969
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
21 Mendeley
Title
A Newton-Raphson algorithm for maximum likelihood factor analysis
Published in
Psychometrika, March 1969
DOI 10.1007/bf02290176
Authors

Robert I. Jennrich, Stephen M. Robinson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 10%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Bachelor 4 19%
Student > Doctoral Student 1 5%
Professor 1 5%
Lecturer 1 5%
Other 4 19%
Unknown 5 24%
Readers by discipline Count As %
Psychology 4 19%
Engineering 3 14%
Business, Management and Accounting 2 10%
Mathematics 2 10%
Medicine and Dentistry 2 10%
Other 4 19%
Unknown 4 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 14 October 2014.
All research outputs
#20,239,689
of 22,766,595 outputs
Outputs from Psychometrika
#485
of 499 outputs
Outputs of similar age
#2,671
of 2,727 outputs
Outputs of similar age from Psychometrika
#1
of 1 outputs
Altmetric has tracked 22,766,595 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 499 research outputs from this source. They receive a mean Attention Score of 4.6. 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 2,727 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 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