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Bayesian Inference of Subglacial Topography Using Mass Conservation

Overview of attention for article published in Frontiers in Earth Science, February 2016
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1 X user

Citations

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39 Dimensions

Readers on

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63 Mendeley
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Title
Bayesian Inference of Subglacial Topography Using Mass Conservation
Published in
Frontiers in Earth Science, February 2016
DOI 10.3389/feart.2016.00008
Authors

Douglas J. Brinkerhoff, Andy Aschwanden, Martin Truffer

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

Geographical breakdown

Country Count As %
United States 2 3%
Russia 1 2%
Unknown 60 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 12 19%
Student > Master 9 14%
Professor 5 8%
Student > Doctoral Student 2 3%
Other 2 3%
Unknown 17 27%
Readers by discipline Count As %
Earth and Planetary Sciences 33 52%
Environmental Science 4 6%
Physics and Astronomy 4 6%
Engineering 3 5%
Agricultural and Biological Sciences 1 2%
Other 0 0%
Unknown 18 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 05 February 2017.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from Frontiers in Earth Science
#3,022
of 4,525 outputs
Outputs of similar age
#334,186
of 397,234 outputs
Outputs of similar age from Frontiers in Earth Science
#22
of 33 outputs
Altmetric has tracked 22,842,950 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 4,525 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 397,234 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 33 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.