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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 3 | 38% |
Ecuador | 1 | 13% |
Iran, Islamic Republic of | 1 | 13% |
Germany | 1 | 13% |
Japan | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 2 | 25% |
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
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.