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Computing and Representing Sea Ice Trends: Toward a Community Consensus

Overview of attention for article published in Eos, Transactions American Geophysical Union, October 2013
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Title
Computing and Representing Sea Ice Trends: Toward a Community Consensus
Published in
Eos, Transactions American Geophysical Union, October 2013
DOI 10.1002/2013eo400006
Authors

T. Wohlleben, A. Tivy, J. Stroeve, W. Meier, F. Fetterer, J. Wang, R. Assel

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 50%
Professor > Associate Professor 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Unknown 2 20%
Readers by discipline Count As %
Earth and Planetary Sciences 7 70%
Environmental Science 1 10%
Unknown 2 20%
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 02 October 2013.
All research outputs
#23,084,818
of 25,728,855 outputs
Outputs from Eos, Transactions American Geophysical Union
#3,852
of 3,937 outputs
Outputs of similar age
#196,017
of 220,770 outputs
Outputs of similar age from Eos, Transactions American Geophysical Union
#51
of 55 outputs
Altmetric has tracked 25,728,855 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 3,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. 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 220,770 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 55 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.