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Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand

Overview of attention for article published in Hydrology & Earth System Sciences, August 2019
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
2 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
34 Mendeley
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Article details
Title
Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand
Published in
Hydrology & Earth System Sciences, August 2019
DOI 10.5194/hess-23-3189-2019
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 3 9%
Professor > Associate Professor 3 9%
Lecturer > Senior Lecturer 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 12 35%
Readers by discipline
Readers by discipline Count As %
Earth and Planetary Sciences 11 32%
Environmental Science 3 9%
Medicine and Dentistry 2 6%
Engineering 2 6%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 14 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 27 October 2024.
All research outputs
#2,685,250
of 34,411,289 outputs
Outputs from Hydrology & Earth System Sciences
#221
of 3,789 outputs
Outputs of similar age
#42,263
of 389,621 outputs
Outputs of similar age from Hydrology & Earth System Sciences
#4
of 59 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,789 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 94% 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 389,621 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 89% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.