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The role of number of items per trial in best–worst scaling experiments

Overview of attention for article published in Behavior Research Methods, July 2019
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Title
The role of number of items per trial in best–worst scaling experiments
Published in
Behavior Research Methods, July 2019
DOI 10.3758/s13428-019-01270-w
Pubmed ID
Authors

Geoff Hollis

Twitter Demographics

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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 15 July 2019.
All research outputs
#10,640,015
of 13,370,991 outputs
Outputs from Behavior Research Methods
#910
of 1,153 outputs
Outputs of similar age
#153,314
of 214,837 outputs
Outputs of similar age from Behavior Research Methods
#50
of 58 outputs
Altmetric has tracked 13,370,991 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 14th percentile – i.e., 14% 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 214,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.