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Optimization of legacy lidar data sets for measuring near‐field earthquake displacements

Overview of attention for article published in Geophysical Research Letters, May 2014
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1 X user

Citations

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48 Mendeley
Title
Optimization of legacy lidar data sets for measuring near‐field earthquake displacements
Published in
Geophysical Research Letters, May 2014
DOI 10.1002/2014gl059919
Authors

Craig L. Glennie, Alejandro Hinojosa‐Corona, Edwin Nissen, Arpan Kusari, Michael E. Oskin, J. Ramon Arrowsmith, Adrian Borsa

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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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 12 25%
Student > Master 5 10%
Professor 4 8%
Other 3 6%
Other 6 13%
Unknown 4 8%
Readers by discipline Count As %
Earth and Planetary Sciences 29 60%
Engineering 9 19%
Physics and Astronomy 1 2%
Agricultural and Biological Sciences 1 2%
Energy 1 2%
Other 1 2%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2014.
All research outputs
#22,018,175
of 24,565,648 outputs
Outputs from Geophysical Research Letters
#17,272
of 20,710 outputs
Outputs of similar age
#199,353
of 231,376 outputs
Outputs of similar age from Geophysical Research Letters
#159
of 265 outputs
Altmetric has tracked 24,565,648 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,710 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one is in the 1st percentile – i.e., 1% 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 231,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.