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The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers

Overview of attention for article published in Data Mining and Knowledge Discovery, December 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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5 X users

Citations

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17 Dimensions

Readers on

mendeley
37 Mendeley
Title
The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers
Published in
Data Mining and Knowledge Discovery, December 2018
DOI 10.1007/s10618-018-00607-x
Authors

Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 5 14%
Lecturer 4 11%
Student > Bachelor 2 5%
Student > Postgraduate 2 5%
Other 7 19%
Unknown 10 27%
Readers by discipline Count As %
Computer Science 10 27%
Earth and Planetary Sciences 6 16%
Engineering 5 14%
Environmental Science 2 5%
Immunology and Microbiology 1 3%
Other 2 5%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 December 2018.
All research outputs
#7,381,450
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#143
of 546 outputs
Outputs of similar age
#146,819
of 441,597 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#2
of 7 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 441,597 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.