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Phenological Classification of the United States: A Geographic Framework for Extending Multi-Sensor Time-Series Data

Overview of attention for article published in Remote Sensing, February 2010
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Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

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35 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
1 CiteULike
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Title
Phenological Classification of the United States: A Geographic Framework for Extending Multi-Sensor Time-Series Data
Published in
Remote Sensing, February 2010
DOI 10.3390/rs2020526
Authors

Yingxin Gu, Jesslyn Brown, Tomoaki Miura, Willem J. Van Leeuwen, Bradley Reed

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
United States 1 1%
Germany 1 1%
France 1 1%
Unknown 70 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 32%
Student > Ph. D. Student 13 17%
Student > Master 10 13%
Professor > Associate Professor 7 9%
Lecturer 5 7%
Other 10 13%
Unknown 6 8%
Readers by discipline Count As %
Environmental Science 24 32%
Earth and Planetary Sciences 19 25%
Agricultural and Biological Sciences 9 12%
Computer Science 4 5%
Engineering 3 4%
Other 3 4%
Unknown 13 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 March 2017.
All research outputs
#14,927,127
of 22,959,818 outputs
Outputs from Remote Sensing
#5,503
of 11,400 outputs
Outputs of similar age
#135,662
of 167,177 outputs
Outputs of similar age from Remote Sensing
#16
of 18 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 47th percentile – i.e., 47% 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 167,177 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.