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Role of SST feedback in the prediction of the boreal summer monsoon intraseasonal oscillation

Overview of attention for article published in Climate Dynamics, May 2019
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Mentioned by

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1 X user

Citations

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Readers on

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4 Mendeley
Title
Role of SST feedback in the prediction of the boreal summer monsoon intraseasonal oscillation
Published in
Climate Dynamics, May 2019
DOI 10.1007/s00382-019-04753-w
Authors

Ying Zhang, Meng-Pai Hung, Wanqiu Wang, Arun Kumar

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Earth and Planetary Sciences 3 75%
Environmental Science 1 25%
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 15 May 2019.
All research outputs
#20,569,780
of 23,146,350 outputs
Outputs from Climate Dynamics
#3,479
of 4,970 outputs
Outputs of similar age
#299,874
of 351,362 outputs
Outputs of similar age from Climate Dynamics
#55
of 95 outputs
Altmetric has tracked 23,146,350 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 4,970 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 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 351,362 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 95 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.