↓ Skip to main content

MLAAPDE: A Machine Learning Dataset for Determining Global Earthquake Source Parameters

Overview of attention for article published in Seismological Research Letters, June 2023
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
MLAAPDE: A Machine Learning Dataset for Determining Global Earthquake Source Parameters
Published in
Seismological Research Letters, June 2023
DOI 10.1785/0220230021
Authors

Hank M. Cole, William L. Yeck, Harley M. Benz

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Researcher 2 25%
Student > Bachelor 1 13%
Other 1 13%
Unknown 2 25%
Readers by discipline Count As %
Earth and Planetary Sciences 6 75%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 July 2023.
All research outputs
#8,052,432
of 24,337,175 outputs
Outputs from Seismological Research Letters
#753
of 1,487 outputs
Outputs of similar age
#123,836
of 353,108 outputs
Outputs of similar age from Seismological Research Letters
#31
of 46 outputs
Altmetric has tracked 24,337,175 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 49th percentile – i.e., 49% 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 353,108 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 64% 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 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.