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Non-linear dependence and teleconnections in climate data: sources, relevance, nonstationarity

Overview of attention for article published in Climate Dynamics, May 2013
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
47 Mendeley
citeulike
1 CiteULike
Title
Non-linear dependence and teleconnections in climate data: sources, relevance, nonstationarity
Published in
Climate Dynamics, May 2013
DOI 10.1007/s00382-013-1780-2
Authors

Jaroslav Hlinka, David Hartman, Martin Vejmelka, Dagmar Novotná, Milan PaluÅ¡, Dagmar Novotná, Milan Paluš

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Czech Republic 2 4%
Portugal 1 2%
Poland 1 2%
China 1 2%
Colombia 1 2%
Unknown 39 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 36%
Student > Ph. D. Student 14 30%
Student > Master 6 13%
Student > Doctoral Student 3 6%
Unspecified 3 6%
Other 4 9%
Readers by discipline Count As %
Earth and Planetary Sciences 19 40%
Computer Science 7 15%
Physics and Astronomy 5 11%
Environmental Science 4 9%
Unspecified 3 6%
Other 9 19%

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 06 May 2013.
All research outputs
#2,900,957
of 3,635,033 outputs
Outputs from Climate Dynamics
#795
of 909 outputs
Outputs of similar age
#66,173
of 84,946 outputs
Outputs of similar age from Climate Dynamics
#37
of 47 outputs
Altmetric has tracked 3,635,033 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 84,946 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 47 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.