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Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI

Overview of attention for article published in Remote Sensing of Environment, November 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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57 Dimensions

Readers on

mendeley
143 Mendeley
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Title
Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI
Published in
Remote Sensing of Environment, November 2014
DOI 10.1016/j.rse.2014.08.025
Authors

Xuanlong Ma, Alfredo Huete, Qiang Yu, Natalia Restrepo-Coupe, Jason Beringer, Lindsay B. Hutley, Kasturi Devi Kanniah, James Cleverly, Derek Eamus

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Australia 2 1%
China 1 <1%
Israel 1 <1%
Spain 1 <1%
Russia 1 <1%
Unknown 134 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 24 17%
Student > Master 15 10%
Student > Doctoral Student 12 8%
Professor 9 6%
Other 16 11%
Unknown 28 20%
Readers by discipline Count As %
Environmental Science 38 27%
Agricultural and Biological Sciences 28 20%
Earth and Planetary Sciences 28 20%
Engineering 4 3%
Nursing and Health Professions 2 1%
Other 3 2%
Unknown 40 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 June 2021.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Remote Sensing of Environment
#2,958
of 3,692 outputs
Outputs of similar age
#147,406
of 273,826 outputs
Outputs of similar age from Remote Sensing of Environment
#15
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,692 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 17th percentile – i.e., 17% 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 273,826 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.