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Bundle Adjustment Using Space-Based Triangulation Method for Improving the Landsat Global Ground Reference

Overview of attention for article published in Remote Sensing, July 2019
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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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
13 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Bundle Adjustment Using Space-Based Triangulation Method for Improving the Landsat Global Ground Reference
Published in
Remote Sensing, July 2019
DOI 10.3390/rs11141640
Authors

James C. Storey, Rajagopalan Rengarajan, Michael J. Choate

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Researcher 2 22%
Student > Doctoral Student 1 11%
Unknown 3 33%
Readers by discipline Count As %
Environmental Science 1 11%
Computer Science 1 11%
Earth and Planetary Sciences 1 11%
Engineering 1 11%
Unknown 5 56%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 March 2020.
All research outputs
#2,121,046
of 15,757,394 outputs
Outputs from Remote Sensing
#623
of 6,567 outputs
Outputs of similar age
#42,552
of 209,349 outputs
Outputs of similar age from Remote Sensing
#19
of 60 outputs
Altmetric has tracked 15,757,394 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,567 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 90% 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 209,349 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 79% of its contemporaries.
We're also able to compare this research output to 60 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 68% of its contemporaries.