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Using Computerized Adaptive Testing to Evaluate Nurse Competence for Licensure: Some History and Forward Look

Overview of attention for article published in Advances in Health Sciences Education, January 1999
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Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
8 Mendeley
Title
Using Computerized Adaptive Testing to Evaluate Nurse Competence for Licensure: Some History and Forward Look
Published in
Advances in Health Sciences Education, January 1999
DOI 10.1023/a:1009866321381
Pubmed ID
Authors

Anthony R. Zara

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Researcher 2 25%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Veterinary Science and Veterinary Medicine 1 13%
Social Sciences 1 13%
Engineering 1 13%
Unknown 2 25%
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 08 September 2020.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Advances in Health Sciences Education
#451
of 939 outputs
Outputs of similar age
#24,657
of 109,586 outputs
Outputs of similar age from Advances in Health Sciences Education
#1
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 48th percentile – i.e., 48% 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 109,586 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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