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Structural equation modeling in medical research: a primer

Overview of attention for article published in BMC Research Notes, October 2010
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
160 Dimensions

Readers on

mendeley
471 Mendeley
citeulike
2 CiteULike
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Title
Structural equation modeling in medical research: a primer
Published in
BMC Research Notes, October 2010
DOI 10.1186/1756-0500-3-267
Pubmed ID
Authors

Tanya N Beran, Claudio Violato

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 471 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Portugal 2 <1%
United Kingdom 2 <1%
Malaysia 1 <1%
Chile 1 <1%
China 1 <1%
Saudi Arabia 1 <1%
Unknown 459 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 18%
Researcher 56 12%
Student > Master 54 11%
Student > Doctoral Student 31 7%
Professor > Associate Professor 26 6%
Other 106 23%
Unknown 113 24%
Readers by discipline Count As %
Medicine and Dentistry 75 16%
Psychology 42 9%
Social Sciences 34 7%
Business, Management and Accounting 24 5%
Engineering 22 5%
Other 149 32%
Unknown 125 27%

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 02 November 2021.
All research outputs
#16,342,561
of 21,017,702 outputs
Outputs from BMC Research Notes
#2,665
of 4,086 outputs
Outputs of similar age
#198,032
of 283,239 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 21,017,702 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,086 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 29th percentile – i.e., 29% 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 283,239 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% 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