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The Community Code Verification Exercise for Simulating Sequences of Earthquakes and Aseismic Slip (SEAS)

Overview of attention for article published in Seismological Research Letters, January 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Citations

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46 Dimensions

Readers on

mendeley
60 Mendeley
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Title
The Community Code Verification Exercise for Simulating Sequences of Earthquakes and Aseismic Slip (SEAS)
Published in
Seismological Research Letters, January 2020
DOI 10.1785/0220190248
Authors

Brittany A. Erickson, Junle Jiang, Michael Barall, Nadia Lapusta, Eric M. Dunham, Ruth Harris, Lauren S. Abrahams, Kali L. Allison, Jean-Paul Ampuero, Sylvain Barbot, Camilla Cattania, Ahmed Elbanna, Yuri Fialko, Benjamin Idini, Jeremy E. Kozdon, Valère Lambert, Yajing Liu, Yingdi Luo, Xiao Ma, Maricela Best McKay, Paul Segall, Pengcheng Shi, Martijn van den Ende, Meng Wei

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 13 22%
Professor > Associate Professor 3 5%
Student > Master 3 5%
Student > Bachelor 2 3%
Other 9 15%
Unknown 16 27%
Readers by discipline Count As %
Earth and Planetary Sciences 31 52%
Engineering 4 7%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Physics and Astronomy 1 2%
Other 3 5%
Unknown 19 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 February 2020.
All research outputs
#6,905,090
of 25,269,846 outputs
Outputs from Seismological Research Letters
#701
of 1,596 outputs
Outputs of similar age
#136,977
of 466,362 outputs
Outputs of similar age from Seismological Research Letters
#25
of 46 outputs
Altmetric has tracked 25,269,846 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 55% 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 466,362 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 70% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.