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Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product

Overview of attention for article published in International Journal of Applied Earth Observation & Geoinformation, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
7 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
143 Mendeley
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Title
Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product
Published in
International Journal of Applied Earth Observation & Geoinformation, March 2017
DOI 10.1016/j.jag.2017.03.008
Pubmed ID
Authors

Zhuosen Wang, Crystal B. Schaaf, Qingsong Sun, JiHyun Kim, Angela M. Erb, Feng Gao, Miguel O. Román, Yun Yang, Shelley Petroy, Jeffrey R. Taylor, Jeffrey G. Masek, Jeffrey T. Morisette, Xiaoyang Zhang, Shirley A. Papuga

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 21%
Researcher 27 19%
Student > Master 17 12%
Student > Bachelor 9 6%
Student > Doctoral Student 5 3%
Other 18 13%
Unknown 37 26%
Readers by discipline Count As %
Environmental Science 31 22%
Earth and Planetary Sciences 26 18%
Agricultural and Biological Sciences 15 10%
Engineering 14 10%
Computer Science 6 4%
Other 5 3%
Unknown 46 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2023.
All research outputs
#5,284,655
of 26,017,215 outputs
Outputs from International Journal of Applied Earth Observation & Geoinformation
#223
of 1,725 outputs
Outputs of similar age
#85,595
of 326,850 outputs
Outputs of similar age from International Journal of Applied Earth Observation & Geoinformation
#5
of 39 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,725 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 326,850 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 73% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.