↓ Skip to main content

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

Overview of attention for article published in Remote Sensing of Environment, January 2010
Altmetric Badge

Mentioned by

policy
1 policy source

Citations

dimensions_citation
722 Dimensions

Readers on

mendeley
749 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks
Published in
Remote Sensing of Environment, January 2010
DOI 10.1016/j.rse.2009.08.017
Authors

Chengquan Huang, Samuel N. Goward, Jeffrey G. Masek, Nancy Thomas, Zhiliang Zhu, James E. Vogelmann

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 749 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 3%
Canada 8 1%
Brazil 4 <1%
Germany 3 <1%
Netherlands 3 <1%
Australia 3 <1%
United Kingdom 2 <1%
Bolivia, Plurinational State of 2 <1%
Chile 1 <1%
Other 5 <1%
Unknown 696 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 173 23%
Researcher 139 19%
Student > Master 127 17%
Student > Doctoral Student 46 6%
Student > Bachelor 36 5%
Other 100 13%
Unknown 128 17%
Readers by discipline Count As %
Environmental Science 245 33%
Earth and Planetary Sciences 171 23%
Agricultural and Biological Sciences 79 11%
Engineering 27 4%
Computer Science 19 3%
Other 36 5%
Unknown 172 23%
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 24 January 2023.
All research outputs
#8,650,860
of 25,663,438 outputs
Outputs from Remote Sensing of Environment
#1,998
of 3,772 outputs
Outputs of similar age
#51,607
of 174,064 outputs
Outputs of similar age from Remote Sensing of Environment
#8
of 16 outputs
Altmetric has tracked 25,663,438 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 3,772 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 26th percentile – i.e., 26% 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 174,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
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 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.