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Using remote sensing to quantify ecosystem site potential community structure and deviation in the Great Basin, United States

Overview of attention for article published in Ecological Indicators, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Using remote sensing to quantify ecosystem site potential community structure and deviation in the Great Basin, United States
Published in
Ecological Indicators, January 2019
DOI 10.1016/j.ecolind.2018.09.037
Authors

Matthew Rigge, Collin Homer, Bruce Wylie, Yingxin Gu, Hua Shi, George Xian, Debra K. Meyer, Brett Bunde

Twitter Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Ph. D. Student 6 16%
Researcher 5 14%
Student > Bachelor 3 8%
Student > Doctoral Student 2 5%
Other 4 11%
Unknown 10 27%
Readers by discipline Count As %
Environmental Science 10 27%
Agricultural and Biological Sciences 8 22%
Earth and Planetary Sciences 6 16%
Computer Science 2 5%
Unknown 11 30%

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 02 February 2020.
All research outputs
#8,881,590
of 16,737,500 outputs
Outputs from Ecological Indicators
#1,197
of 2,369 outputs
Outputs of similar age
#146,169
of 327,515 outputs
Outputs of similar age from Ecological Indicators
#57
of 109 outputs
Altmetric has tracked 16,737,500 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 48th percentile – i.e., 48% 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 327,515 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 54% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.