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Some dimension reduction strategies for the analysis of survey data

Overview of attention for article published in Journal of Big Data, December 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
48 Mendeley
Title
Some dimension reduction strategies for the analysis of survey data
Published in
Journal of Big Data, December 2017
DOI 10.1186/s40537-017-0103-6
Authors

Jiaying Weng, Derek S. Young

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Student > Ph. D. Student 8 17%
Researcher 5 10%
Lecturer 4 8%
Student > Doctoral Student 4 8%
Other 10 21%
Unknown 8 17%
Readers by discipline Count As %
Computer Science 14 29%
Psychology 3 6%
Mathematics 3 6%
Chemistry 2 4%
Engineering 2 4%
Other 14 29%
Unknown 10 21%
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 08 December 2017.
All research outputs
#15,485,255
of 23,011,300 outputs
Outputs from Journal of Big Data
#202
of 339 outputs
Outputs of similar age
#266,826
of 439,767 outputs
Outputs of similar age from Journal of Big Data
#9
of 12 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 25th percentile – i.e., 25% 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 439,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.