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Depositional mechanisms and morphology of debris flow: physical modelling

Overview of attention for article published in Landslides, November 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
59 Mendeley
Title
Depositional mechanisms and morphology of debris flow: physical modelling
Published in
Landslides, November 2018
DOI 10.1007/s10346-018-1095-9
Authors

Gordon G. D. Zhou, Shuai Li, Dongri Song, Clarence E. Choi, Xiaoqing Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 12 20%
Researcher 4 7%
Professor 3 5%
Student > Bachelor 3 5%
Other 3 5%
Unknown 19 32%
Readers by discipline Count As %
Engineering 24 41%
Earth and Planetary Sciences 8 14%
Environmental Science 4 7%
Economics, Econometrics and Finance 1 2%
Energy 1 2%
Other 1 2%
Unknown 20 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 June 2019.
All research outputs
#4,255,084
of 23,151,189 outputs
Outputs from Landslides
#101
of 531 outputs
Outputs of similar age
#86,688
of 352,715 outputs
Outputs of similar age from Landslides
#7
of 19 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 531 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 79% 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 352,715 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 74% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.