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MTpy: A Python toolbox for magnetotellurics

Overview of attention for article published in Computers & Geosciences, November 2014
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Mentioned by

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1 X user

Citations

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116 Dimensions

Readers on

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112 Mendeley
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Title
MTpy: A Python toolbox for magnetotellurics
Published in
Computers & Geosciences, November 2014
DOI 10.1016/j.cageo.2014.07.013
Authors

Lars Krieger, Jared R. Peacock

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
United States 2 2%
Canada 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 18%
Researcher 20 18%
Student > Master 16 14%
Other 7 6%
Lecturer 7 6%
Other 17 15%
Unknown 25 22%
Readers by discipline Count As %
Earth and Planetary Sciences 56 50%
Engineering 6 5%
Computer Science 4 4%
Agricultural and Biological Sciences 2 2%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 9 8%
Unknown 34 30%
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 01 October 2014.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Computers & Geosciences
#847
of 970 outputs
Outputs of similar age
#200,451
of 273,823 outputs
Outputs of similar age from Computers & Geosciences
#11
of 14 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 4th percentile – i.e., 4% 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 273,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.