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How accurately do coupled climate models predict the leading modes of Asian-Australian monsoon interannual variability?

Overview of attention for article published in Climate Dynamics, October 2007
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
83 Mendeley
citeulike
1 CiteULike
Title
How accurately do coupled climate models predict the leading modes of Asian-Australian monsoon interannual variability?
Published in
Climate Dynamics, October 2007
DOI 10.1007/s00382-007-0310-5
Authors

Bin Wang, June-Yi Lee, I.-S. Kang, J. Shukla, J.-S. Kug, A. Kumar, J. Schemm, J.-J. Luo, T. Yamagata, C.-K. Park

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 4%
Japan 1 1%
Germany 1 1%
Australia 1 1%
Unknown 77 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 30%
Student > Ph. D. Student 14 17%
Student > Master 8 10%
Professor 5 6%
Student > Postgraduate 5 6%
Other 15 18%
Unknown 11 13%
Readers by discipline Count As %
Earth and Planetary Sciences 51 61%
Environmental Science 9 11%
Physics and Astronomy 4 5%
Economics, Econometrics and Finance 2 2%
Agricultural and Biological Sciences 1 1%
Other 1 1%
Unknown 15 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2016.
All research outputs
#7,521,897
of 22,955,959 outputs
Outputs from Climate Dynamics
#2,028
of 4,943 outputs
Outputs of similar age
#25,929
of 76,885 outputs
Outputs of similar age from Climate Dynamics
#8
of 13 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,943 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 48th percentile – i.e., 48% 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 76,885 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.