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Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices

Overview of attention for article published in ISPRS Journal of Photogrammetry & Remote Sensing, October 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Readers on

mendeley
44 Mendeley
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Title
Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices
Published in
ISPRS Journal of Photogrammetry & Remote Sensing, October 2014
DOI 10.1016/j.isprsjprs.2014.06.013
Authors

Lei Ji, Li Zhang, Jennifer Rover, Bruce K. Wylie, Xuexia Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 7 16%
Student > Master 5 11%
Professor 3 7%
Professor > Associate Professor 3 7%
Other 9 20%
Unknown 9 20%
Readers by discipline Count As %
Environmental Science 9 20%
Earth and Planetary Sciences 9 20%
Agricultural and Biological Sciences 7 16%
Computer Science 2 5%
Physics and Astronomy 2 5%
Other 2 5%
Unknown 13 30%
Attention Score in Context

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 13 February 2020.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from ISPRS Journal of Photogrammetry & Remote Sensing
#427
of 1,014 outputs
Outputs of similar age
#88,389
of 265,638 outputs
Outputs of similar age from ISPRS Journal of Photogrammetry & Remote Sensing
#7
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 32nd percentile – i.e., 32% 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 265,638 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 53% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.