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Reconstructing the subsurface ocean decadal variability using surface nudging in a perfect model framework

Overview of attention for article published in Climate Dynamics, June 2014
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Mentioned by

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1 X user

Citations

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38 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
2 CiteULike
Title
Reconstructing the subsurface ocean decadal variability using surface nudging in a perfect model framework
Published in
Climate Dynamics, June 2014
DOI 10.1007/s00382-014-2184-7
Authors

Jérôme Servonnat, Juliette Mignot, Eric Guilyardi, Didier Swingedouw, Roland Séférian, Sonia Labetoulle

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

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 45%
Student > Ph. D. Student 6 14%
Student > Master 3 7%
Librarian 2 5%
Professor 2 5%
Other 4 10%
Unknown 6 14%
Readers by discipline Count As %
Earth and Planetary Sciences 18 43%
Environmental Science 9 21%
Physics and Astronomy 3 7%
Economics, Econometrics and Finance 1 2%
Arts and Humanities 1 2%
Other 4 10%
Unknown 6 14%
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 13 June 2014.
All research outputs
#20,231,392
of 22,757,090 outputs
Outputs from Climate Dynamics
#3,436
of 4,899 outputs
Outputs of similar age
#193,302
of 228,650 outputs
Outputs of similar age from Climate Dynamics
#50
of 74 outputs
Altmetric has tracked 22,757,090 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 4,899 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 228,650 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 74 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.