↓ Skip to main content

Predictability of the recent slowdown and subsequent recovery of large‐scale surface warming using statistical methods

Overview of attention for article published in Geophysical Research Letters, April 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
twitter
20 X users
facebook
2 Facebook pages

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
1 CiteULike
Title
Predictability of the recent slowdown and subsequent recovery of large‐scale surface warming using statistical methods
Published in
Geophysical Research Letters, April 2016
DOI 10.1002/2016gl068159
Authors

Michael E. Mann, Byron A. Steinman, Sonya K. Miller, Leela M. Frankcombe, Matthew H. England, Anson H. Cheung

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 5 14%
Professor 5 14%
Other 4 11%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 6 16%
Readers by discipline Count As %
Earth and Planetary Sciences 15 41%
Environmental Science 7 19%
Engineering 4 11%
Agricultural and Biological Sciences 2 5%
Unspecified 1 3%
Other 2 5%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 17 October 2022.
All research outputs
#1,375,251
of 25,758,211 outputs
Outputs from Geophysical Research Letters
#2,681
of 21,793 outputs
Outputs of similar age
#22,920
of 316,435 outputs
Outputs of similar age from Geophysical Research Letters
#57
of 406 outputs
Altmetric has tracked 25,758,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has done well, scoring higher than 87% 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 316,435 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 92% of its contemporaries.
We're also able to compare this research output to 406 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.