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Iterative algorithms for total variation-like reconstructions in seismic tomography

Overview of attention for article published in GEM - International Journal on Geomathematics, March 2012
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1 Facebook page

Citations

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27 Dimensions

Readers on

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24 Mendeley
Title
Iterative algorithms for total variation-like reconstructions in seismic tomography
Published in
GEM - International Journal on Geomathematics, March 2012
DOI 10.1007/s13137-012-0036-3
Authors

Ignace Loris, Caroline Verhoeven

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Doctoral Student 4 17%
Student > Master 3 13%
Lecturer 2 8%
Student > Bachelor 1 4%
Other 4 17%
Unknown 6 25%
Readers by discipline Count As %
Earth and Planetary Sciences 7 29%
Engineering 6 25%
Physics and Astronomy 3 13%
Mathematics 1 4%
Unknown 7 29%
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 21 March 2012.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from GEM - International Journal on Geomathematics
#14
of 18 outputs
Outputs of similar age
#145,226
of 160,338 outputs
Outputs of similar age from GEM - International Journal on Geomathematics
#1
of 1 outputs
Altmetric has tracked 22,663,969 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 18 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 4 of them.
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 160,338 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them