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Likelihood testing of seismicity‐based rate forecasts of induced earthquakes in Oklahoma and Kansas

Overview of attention for article published in Geophysical Research Letters, May 2016
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1 tweeter

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18 Mendeley
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Title
Likelihood testing of seismicity‐based rate forecasts of induced earthquakes in Oklahoma and Kansas
Published in
Geophysical Research Letters, May 2016
DOI 10.1002/2016gl068948
Authors

M. P. Moschetti, S. M. Hoover, C. S. Mueller

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 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 4 22%
Student > Doctoral Student 3 17%
Researcher 3 17%
Professor 3 17%
Other 1 6%
Other 3 17%
Unknown 1 6%
Readers by discipline Count As %
Earth and Planetary Sciences 12 67%
Engineering 4 22%
Energy 1 6%
Unknown 1 6%

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 05 May 2016.
All research outputs
#11,396,640
of 12,819,602 outputs
Outputs from Geophysical Research Letters
#9,671
of 12,708 outputs
Outputs of similar age
#218,215
of 261,250 outputs
Outputs of similar age from Geophysical Research Letters
#248
of 415 outputs
Altmetric has tracked 12,819,602 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 12,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. 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 261,250 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 415 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.