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Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony

Overview of attention for article published in Remote Sensing, February 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony
Published in
Remote Sensing, February 2020
DOI 10.3390/rs12040725
Authors

Neal J. Pastick, Devendra Dahal, Bruce K. Wylie, Sujan Parajuli, Stephen P. Boyte, Zhouting Wu

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Student > Master 6 15%
Researcher 5 12%
Student > Bachelor 4 10%
Other 2 5%
Other 2 5%
Unknown 13 32%
Readers by discipline Count As %
Environmental Science 8 20%
Agricultural and Biological Sciences 8 20%
Earth and Planetary Sciences 4 10%
Computer Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 7%
Unknown 16 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 April 2020.
All research outputs
#4,660,427
of 17,585,248 outputs
Outputs from Remote Sensing
#1,519
of 8,051 outputs
Outputs of similar age
#85,993
of 266,712 outputs
Outputs of similar age from Remote Sensing
#48
of 106 outputs
Altmetric has tracked 17,585,248 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,051 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 266,712 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 67% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.