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Probabilistic 2-meter surface temperature forecasting over Xinjiang based on Bayesian model averaging

Overview of attention for article published in Frontiers in Earth Science, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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3 X users

Readers on

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1 Mendeley
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Title
Probabilistic 2-meter surface temperature forecasting over Xinjiang based on Bayesian model averaging
Published in
Frontiers in Earth Science, August 2022
DOI 10.3389/feart.2022.960156
Authors

Ailiyaer Aihaiti, Yu Wang, Mamtimin Ali, Wen Huo, Lianhua Zhu, Junjian Liu, Jiacheng Gao, Cong Wen, Meiqi Song

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
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 19 September 2022.
All research outputs
#19,217,501
of 24,469,913 outputs
Outputs from Frontiers in Earth Science
#2,352
of 5,731 outputs
Outputs of similar age
#290,578
of 419,313 outputs
Outputs of similar age from Frontiers in Earth Science
#165
of 450 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,731 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 52% of its peers.
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 419,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 450 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.