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Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest

Overview of attention for article published in Remote Sensing, June 2016
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1 X user

Citations

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70 Dimensions

Readers on

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144 Mendeley
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1 CiteULike
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Title
Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest
Published in
Remote Sensing, June 2016
DOI 10.3390/rs8060491
Authors

Zhihui Wang, Tiejun Wang, Roshanak Darvishzadeh, Andrew K. Skidmore, Simon Jones, Lola Suarez, William Woodgate, Uta Heiden, Marco Heurich, John Hearne

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Australia 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Student > Master 25 17%
Researcher 20 14%
Student > Bachelor 8 6%
Professor > Associate Professor 7 5%
Other 24 17%
Unknown 29 20%
Readers by discipline Count As %
Environmental Science 40 28%
Earth and Planetary Sciences 21 15%
Agricultural and Biological Sciences 21 15%
Engineering 10 7%
Computer Science 3 2%
Other 6 4%
Unknown 43 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 June 2016.
All research outputs
#18,462,696
of 22,876,619 outputs
Outputs from Remote Sensing
#7,947
of 11,350 outputs
Outputs of similar age
#260,405
of 345,197 outputs
Outputs of similar age from Remote Sensing
#119
of 167 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,350 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 18th percentile – i.e., 18% 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 345,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.