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An adaptive uncertainty-guided sampling method for geospatial prediction and its application in digital soil mapping

Overview of attention for article published in International Journal of Geographical Information Science, September 2022
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1 tweeter

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1 Mendeley
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Title
An adaptive uncertainty-guided sampling method for geospatial prediction and its application in digital soil mapping
Published in
International Journal of Geographical Information Science, September 2022
DOI 10.1080/13658816.2022.2125973
Authors

Lei Zhang, A-Xing Zhu, Junzhi Liu, Tianwu Ma, Lin Yang, Chenghu Zhou

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Unknown 1 100%

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 30 September 2022.
All research outputs
#18,081,215
of 22,365,276 outputs
Outputs from International Journal of Geographical Information Science
#581
of 754 outputs
Outputs of similar age
#202,138
of 286,225 outputs
Outputs of similar age from International Journal of Geographical Information Science
#7
of 17 outputs
Altmetric has tracked 22,365,276 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 3rd percentile – i.e., 3% 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 286,225 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.