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Can reanalysis datasets describe the persistent temperature and precipitation extremes over China?

Overview of attention for article published in Theoretical and Applied Climatology, August 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
18 Mendeley
Title
Can reanalysis datasets describe the persistent temperature and precipitation extremes over China?
Published in
Theoretical and Applied Climatology, August 2016
DOI 10.1007/s00704-016-1912-9
Authors

Jian Zhu, Dan-Qing Huang, Pei-Wen Yan, Ying Huang, Xue-Yuan Kuang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Student > Master 3 17%
Student > Bachelor 1 6%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 4 22%
Readers by discipline Count As %
Earth and Planetary Sciences 9 50%
Environmental Science 2 11%
Physics and Astronomy 1 6%
Energy 1 6%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 September 2016.
All research outputs
#6,208,785
of 23,839,820 outputs
Outputs from Theoretical and Applied Climatology
#883
of 1,622 outputs
Outputs of similar age
#94,266
of 340,894 outputs
Outputs of similar age from Theoretical and Applied Climatology
#18
of 45 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,622 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 43rd percentile – i.e., 43% 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 340,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.