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Temperature-driven global sea-level variability in the Common Era

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, February 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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169 Dimensions

Readers on

mendeley
387 Mendeley
citeulike
2 CiteULike
Title
Temperature-driven global sea-level variability in the Common Era
Published in
Proceedings of the National Academy of Sciences of the United States of America, February 2016
DOI 10.1073/pnas.1517056113
Pubmed ID
Authors

Robert E. Kopp, Andrew C. Kemp, Klaus Bittermann, Benjamin P. Horton, Jeffrey P. Donnelly, W. Roland Gehrels, Carling C. Hay, Jerry X. Mitrovica, Eric D. Morrow, Stefan Rahmstorf

Abstract

We assess the relationship between temperature and global sea-level (GSL) variability over the Common Era through a statistical metaanalysis of proxy relative sea-level reconstructions and tide-gauge data. GSL rose at 0.1 ± 0.1 mm/y (2σ) over 0-700 CE. A GSL fall of 0.2 ± 0.2 mm/y over 1000-1400 CE is associated with ∼0.2 °C global mean cooling. A significant GSL acceleration began in the 19th century and yielded a 20th century rise that is extremely likely (probability [Formula: see text]) faster than during any of the previous 27 centuries. A semiempirical model calibrated against the GSL reconstruction indicates that, in the absence of anthropogenic climate change, it is extremely likely ([Formula: see text]) that 20th century GSL would have risen by less than 51% of the observed [Formula: see text] cm. The new semiempirical model largely reconciles previous differences between semiempirical 21st century GSL projections and the process model-based projections summarized in the Intergovernmental Panel on Climate Change's Fifth Assessment Report.

Twitter Demographics

The data shown below were collected from the profiles of 353 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 387 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
United Kingdom 3 <1%
France 3 <1%
Canada 2 <1%
Brazil 2 <1%
Germany 1 <1%
Costa Rica 1 <1%
Ecuador 1 <1%
Ireland 1 <1%
Other 3 <1%
Unknown 366 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 88 23%
Student > Ph. D. Student 78 20%
Student > Master 57 15%
Other 31 8%
Student > Bachelor 28 7%
Other 74 19%
Unknown 31 8%
Readers by discipline Count As %
Earth and Planetary Sciences 142 37%
Environmental Science 83 21%
Agricultural and Biological Sciences 26 7%
Engineering 25 6%
Social Sciences 12 3%
Other 53 14%
Unknown 46 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 2141. 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 21 August 2020.
All research outputs
#1,446
of 15,938,710 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#64
of 86,242 outputs
Outputs of similar age
#26
of 267,988 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#1
of 882 outputs
Altmetric has tracked 15,938,710 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 86,242 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has done particularly well, scoring higher than 99% 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 267,988 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 99% of its contemporaries.
We're also able to compare this research output to 882 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.