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The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons

Overview of attention for article published in International Journal of Data Science and Analytics, March 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
18 Mendeley
Title
The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons
Published in
International Journal of Data Science and Analytics, March 2017
DOI 10.1007/s41060-017-0052-3
Authors

Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Daniel J. Mandl, Shane Pederson, James Pivarski, Ray Powell, Jonathan Spring, Walt Wells, John Xia

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 17%
Other 2 11%
Lecturer 2 11%
Student > Doctoral Student 2 11%
Unspecified 1 6%
Other 4 22%
Unknown 4 22%
Readers by discipline Count As %
Computer Science 5 28%
Engineering 4 22%
Business, Management and Accounting 2 11%
Unspecified 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 4 22%
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 14 August 2017.
All research outputs
#13,243,383
of 23,560,187 outputs
Outputs from International Journal of Data Science and Analytics
#1
of 1 outputs
Outputs of similar age
#148,997
of 310,156 outputs
Outputs of similar age from International Journal of Data Science and Analytics
#1
of 1 outputs
Altmetric has tracked 23,560,187 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 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 310,156 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 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them