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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
73 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 73 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 68 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 33%
Student > Ph. D. Student 12 16%
Student > Master 11 15%
Professor > Associate Professor 7 10%
Professor 4 5%
Other 9 12%
Unknown 6 8%
Readers by discipline Count As %
Environmental Science 25 34%
Earth and Planetary Sciences 19 26%
Agricultural and Biological Sciences 8 11%
Computer Science 3 4%
Engineering 3 4%
Other 3 4%
Unknown 12 16%

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
#13,233,813
of 20,553,550 outputs
Outputs from Remote Sensing
#4,686
of 9,804 outputs
Outputs of similar age
#160,534
of 275,281 outputs
Outputs of similar age from Remote Sensing
#116
of 306 outputs
Altmetric has tracked 20,553,550 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,804 research outputs from this source. They receive a mean Attention Score of 4.2. 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 275,281 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 306 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 53% of its contemporaries.