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A 3-year dataset of sensible and latent heat fluxes from the Tibetan Plateau, derived using eddy covariance measurements

Overview of attention for article published in Theoretical and Applied Climatology, October 2014
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Title
A 3-year dataset of sensible and latent heat fluxes from the Tibetan Plateau, derived using eddy covariance measurements
Published in
Theoretical and Applied Climatology, October 2014
DOI 10.1007/s00704-014-1302-0
Authors

Maoshan Li, Wolfgang Babel, Xuelong Chen, Lang Zhang, Fanglin Sun, Binbin Wang, Yaoming Ma, Zeyong Hu, Thomas Foken

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

Geographical breakdown

Country Count As %
Denmark 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Researcher 9 24%
Professor > Associate Professor 3 8%
Student > Master 3 8%
Professor 1 3%
Other 3 8%
Unknown 8 21%
Readers by discipline Count As %
Earth and Planetary Sciences 11 29%
Environmental Science 10 26%
Agricultural and Biological Sciences 5 13%
Computer Science 2 5%
Unspecified 1 3%
Other 1 3%
Unknown 8 21%
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 06 March 2016.
All research outputs
#21,178,329
of 23,839,820 outputs
Outputs from Theoretical and Applied Climatology
#1,488
of 1,622 outputs
Outputs of similar age
#219,895
of 262,682 outputs
Outputs of similar age from Theoretical and Applied Climatology
#16
of 20 outputs
Altmetric has tracked 23,839,820 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 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 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 262,682 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 20 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.