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Characteristics and numerical runout modeling of the heavy rainfall-induced catastrophic landslide–debris flow at Sanxicun, Dujiangyan, China, following the Wenchuan Ms 8.0 earthquake

Overview of attention for article published in Landslides, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
38 Mendeley
Title
Characteristics and numerical runout modeling of the heavy rainfall-induced catastrophic landslide–debris flow at Sanxicun, Dujiangyan, China, following the Wenchuan Ms 8.0 earthquake
Published in
Landslides, January 2017
DOI 10.1007/s10346-016-0793-4
Authors

Yang Gao, Yueping Yin, Bin Li, Zhen Feng, Wenpei Wang, Nan Zhang, Aiguo Xing

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Other 4 11%
Researcher 4 11%
Student > Doctoral Student 4 11%
Student > Bachelor 4 11%
Other 10 26%
Unknown 7 18%
Readers by discipline Count As %
Engineering 12 32%
Earth and Planetary Sciences 8 21%
Environmental Science 5 13%
Computer Science 1 3%
Philosophy 1 3%
Other 2 5%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 February 2017.
All research outputs
#2,925,811
of 22,955,959 outputs
Outputs from Landslides
#62
of 523 outputs
Outputs of similar age
#62,166
of 418,270 outputs
Outputs of similar age from Landslides
#1
of 11 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 523 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 86% 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 418,270 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% 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 has gotten more attention than average, scoring higher than 72% of its contemporaries.