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A laboratory-numerical approach for modelling scale effects in dry granular slides

Overview of attention for article published in Landslides, June 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
17 Mendeley
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Title
A laboratory-numerical approach for modelling scale effects in dry granular slides
Published in
Landslides, June 2018
DOI 10.1007/s10346-018-1023-z
Authors

Matthew Kesseler, Valentin Heller, Barbara Turnbull

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Student > Master 3 18%
Professor 2 12%
Unspecified 2 12%
Lecturer 2 12%
Other 1 6%
Readers by discipline Count As %
Engineering 11 65%
Unspecified 4 24%
Physics and Astronomy 1 6%
Design 1 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 July 2018.
All research outputs
#7,293,297
of 13,165,892 outputs
Outputs from Landslides
#124
of 236 outputs
Outputs of similar age
#128,244
of 268,538 outputs
Outputs of similar age from Landslides
#6
of 11 outputs
Altmetric has tracked 13,165,892 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 236 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 44th percentile – i.e., 44% 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 268,538 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 50% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.