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Using an atmospheric turbulence model for the stochastic model of geodetic VLBI data analysis

Overview of attention for article published in Earth, Planets and Space, June 2016
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1 X user

Citations

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Readers on

mendeley
8 Mendeley
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1 CiteULike
Title
Using an atmospheric turbulence model for the stochastic model of geodetic VLBI data analysis
Published in
Earth, Planets and Space, June 2016
DOI 10.1186/s40623-016-0482-5
Authors

Sebastian Halsig, Thomas Artz, Andreas Iddink, Axel Nothnagel

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

Geographical breakdown

Country Count As %
Japan 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Professor 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Unknown 1 13%
Readers by discipline Count As %
Earth and Planetary Sciences 3 38%
Environmental Science 1 13%
Energy 1 13%
Materials Science 1 13%
Engineering 1 13%
Other 0 0%
Unknown 1 13%
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 22 June 2016.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Earth, Planets and Space
#1,310
of 1,472 outputs
Outputs of similar age
#284,603
of 369,270 outputs
Outputs of similar age from Earth, Planets and Space
#14
of 19 outputs
Altmetric has tracked 25,373,627 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 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 2nd percentile – i.e., 2% 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 369,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.