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CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation

Overview of attention for article published in Advances in Atmospheric Sciences, July 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
5 news outlets
twitter
4 X users

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
79 Mendeley
Title
CAS FGOALS-f3-L Model Datasets for CMIP6 Historical Atmospheric Model Intercomparison Project Simulation
Published in
Advances in Atmospheric Sciences, July 2019
DOI 10.1007/s00376-019-9027-8
Authors

Bian He, Qing Bao, Xiaocong Wang, Linjiong Zhou, Xiaofei Wu, Yimin Liu, Guoxiong Wu, Kangjun Chen, Sicheng He, Wenting Hu, Jiandong Li, Jinxiao Li, Guokui Nian, Lei Wang, Jing Yang, Minghua Zhang, Xiaoqi Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 9 11%
Student > Master 9 11%
Student > Bachelor 5 6%
Student > Postgraduate 4 5%
Other 10 13%
Unknown 25 32%
Readers by discipline Count As %
Earth and Planetary Sciences 29 37%
Environmental Science 6 8%
Engineering 3 4%
Computer Science 2 3%
Agricultural and Biological Sciences 2 3%
Other 6 8%
Unknown 31 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 22 February 2022.
All research outputs
#872,552
of 23,179,757 outputs
Outputs from Advances in Atmospheric Sciences
#93
of 880 outputs
Outputs of similar age
#20,558
of 348,428 outputs
Outputs of similar age from Advances in Atmospheric Sciences
#6
of 18 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 880 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.7. This one has done well, scoring higher than 89% 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 348,428 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.