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Predicting erosion and sediment yield in a mesoscale basin in the semiarid monsoon region Miyun/China

Overview of attention for article published in Ecological Processes, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
2 tweeters
googleplus
1 Google+ user

Readers on

mendeley
15 Mendeley
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Title
Predicting erosion and sediment yield in a mesoscale basin in the semiarid monsoon region Miyun/China
Published in
Ecological Processes, February 2014
DOI 10.1186/2192-1709-3-5
Authors

Michael Gebel, Mario Uhlig, Stefan Halbfass, Ralph Meissner, Shuhuai Duan

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 4 27%
Student > Master 3 20%
Student > Doctoral Student 1 7%
Lecturer 1 7%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Environmental Science 5 33%
Agricultural and Biological Sciences 2 13%
Earth and Planetary Sciences 2 13%
Physics and Astronomy 1 7%
Social Sciences 1 7%
Other 1 7%
Unknown 3 20%

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 22 May 2015.
All research outputs
#1,877,750
of 5,131,088 outputs
Outputs from Ecological Processes
#11
of 32 outputs
Outputs of similar age
#38,259
of 129,378 outputs
Outputs of similar age from Ecological Processes
#1
of 1 outputs
Altmetric has tracked 5,131,088 research outputs across all sources so far. This one has received more attention than most of these and is in the 62nd percentile.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 2.7. This one scored the same or higher as 21 of them.
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 129,378 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 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them