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Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA

Overview of attention for article published in Engineering Geology, June 2003
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About this Attention Score

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

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
540 Dimensions

Readers on

mendeley
322 Mendeley
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Title
Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA
Published in
Engineering Geology, June 2003
DOI 10.1016/s0013-7952(03)00069-3
Authors

Gregory C. Ohlmacher, John C. Davis

Mendeley readers

The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Brazil 3 <1%
Switzerland 2 <1%
Chile 1 <1%
Italy 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Saudi Arabia 1 <1%
Ghana 1 <1%
Other 4 1%
Unknown 303 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 20%
Researcher 57 18%
Student > Master 46 14%
Student > Bachelor 26 8%
Student > Doctoral Student 17 5%
Other 54 17%
Unknown 57 18%
Readers by discipline Count As %
Earth and Planetary Sciences 87 27%
Engineering 64 20%
Environmental Science 46 14%
Agricultural and Biological Sciences 15 5%
Computer Science 8 2%
Other 24 7%
Unknown 78 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 January 2021.
All research outputs
#6,453,132
of 19,891,915 outputs
Outputs from Engineering Geology
#147
of 532 outputs
Outputs of similar age
#95,889
of 313,201 outputs
Outputs of similar age from Engineering Geology
#5
of 5 outputs
Altmetric has tracked 19,891,915 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 532 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 41st percentile – i.e., 41% 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 313,201 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 57% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.