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Detecting causality signal in instrumental measurements and climate model simulations: global warming case study

Overview of attention for article published in Geoscientific Model Development, September 2019
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1 X user

Citations

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Readers on

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19 Mendeley
Title
Detecting causality signal in instrumental measurements and climate model simulations: global warming case study
Published in
Geoscientific Model Development, September 2019
DOI 10.5194/gmd-12-4053-2019
Authors

Mikhail Y. Verbitsky, Michael E. Mann, Byron A. Steinman, Dmitry M. Volobuev

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 21%
Student > Ph. D. Student 3 16%
Researcher 2 11%
Professor 2 11%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 5 26%
Readers by discipline Count As %
Earth and Planetary Sciences 4 21%
Environmental Science 4 21%
Biochemistry, Genetics and Molecular Biology 2 11%
Mathematics 1 5%
Chemical Engineering 1 5%
Other 0 0%
Unknown 7 37%
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 11 August 2022.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from Geoscientific Model Development
#1,290
of 2,044 outputs
Outputs of similar age
#224,209
of 352,676 outputs
Outputs of similar age from Geoscientific Model Development
#9
of 16 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,044 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 32nd percentile – i.e., 32% 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 352,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.