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A new method to generate a high-resolution global distribution map of lake chlorophyll

Overview of attention for article published in International Journal of Remote Sensing, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
101 Mendeley
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Title
A new method to generate a high-resolution global distribution map of lake chlorophyll
Published in
International Journal of Remote Sensing, April 2015
DOI 10.1080/01431161.2015.1029099
Authors

Michael J. Sayers, Amanda G. Grimm, Robert A. Shuchman, Andrew M. Deines, David B. Bunnell, Zachary B. Raymer, Mark W. Rogers, Whitney Woelmer, David H. Bennion, Colin N. Brooks, Matthew A. Whitley, David M. Warner, Justin Mychek-Londer

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Denmark 1 <1%
Unknown 99 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 26%
Student > Ph. D. Student 20 20%
Student > Master 12 12%
Student > Postgraduate 8 8%
Professor > Associate Professor 4 4%
Other 8 8%
Unknown 23 23%
Readers by discipline Count As %
Environmental Science 28 28%
Earth and Planetary Sciences 19 19%
Agricultural and Biological Sciences 12 12%
Engineering 6 6%
Computer Science 2 2%
Other 6 6%
Unknown 28 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 November 2018.
All research outputs
#5,763,116
of 23,577,654 outputs
Outputs from International Journal of Remote Sensing
#261
of 1,797 outputs
Outputs of similar age
#65,760
of 266,411 outputs
Outputs of similar age from International Journal of Remote Sensing
#1
of 12 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,797 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 85% 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 266,411 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.