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Feature significance in generalized additive models

Overview of attention for article published in Statistics and Computing, January 2007
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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8 Mendeley
Title
Feature significance in generalized additive models
Published in
Statistics and Computing, January 2007
DOI 10.1007/s11222-006-9011-x
Authors

B. Ganguli, M. P. Wand

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Professor 2 25%
Unknown 2 25%
Readers by discipline Count As %
Mathematics 2 25%
Economics, Econometrics and Finance 2 25%
Agricultural and Biological Sciences 1 13%
Physics and Astronomy 1 13%
Unknown 2 25%
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 10 May 2016.
All research outputs
#18,456,836
of 22,869,263 outputs
Outputs from Statistics and Computing
#369
of 503 outputs
Outputs of similar age
#153,109
of 161,444 outputs
Outputs of similar age from Statistics and Computing
#2
of 2 outputs
Altmetric has tracked 22,869,263 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 503 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 22nd percentile – i.e., 22% 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 161,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.