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The PRISM (Pliocene palaeoclimate) reconstruction: time for a paradigm shift

Overview of attention for article published in Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 news outlets
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3 X users

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Title
The PRISM (Pliocene palaeoclimate) reconstruction: time for a paradigm shift
Published in
Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2013
DOI 10.1098/rsta.2012.0524
Pubmed ID
Authors

Harry J. Dowsett, Marci M. Robinson, Danielle K. Stoll, Kevin M. Foley, Andrew L. A. Johnson, Mark Williams, Christina R. Riesselman

Abstract

Global palaeoclimate reconstructions have been invaluable to our understanding of the causes and effects of climate change, but single-temperature representations of the oceanic mixed layer for data-model comparisons are outdated, and the time for a paradigm shift in marine palaeoclimate reconstruction is overdue. The new paradigm in marine palaeoclimate reconstruction stems the loss of valuable climate information and instead presents a holistic and nuanced interpretation of multi-dimensional oceanographic processes and responses. A wealth of environmental information is hidden within the US Geological Survey's Pliocene Research, Interpretation and Synoptic Mapping (PRISM) marine palaeoclimate reconstruction, and we introduce here a plan to incorporate all valuable climate data into the next generation of PRISM products. Beyond the global approach and focus, we plan to incorporate regional climate dynamics with emphasis on processes, integrating multiple environmental proxies wherever available in order to better characterize the mixed layer, and developing a finer time slice within the Mid-Piacenzian Age of the Pliocene, complemented by underused proxies that offer snapshots into environmental conditions. The result will be a proxy-rich, temporally nested, process-oriented approach in a digital format-a relational database with geographic information system capabilities comprising a three-dimensional grid representing the surface layer, with a plethora of data in each cell.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Australia 1 1%
Brazil 1 1%
Unknown 82 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 24%
Student > Ph. D. Student 18 21%
Student > Master 9 10%
Professor > Associate Professor 6 7%
Professor 5 6%
Other 14 16%
Unknown 13 15%
Readers by discipline Count As %
Earth and Planetary Sciences 48 56%
Agricultural and Biological Sciences 8 9%
Environmental Science 7 8%
Social Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 2 2%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 28 November 2017.
All research outputs
#2,449,875
of 25,371,288 outputs
Outputs from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#570
of 3,637 outputs
Outputs of similar age
#22,242
of 225,579 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#9
of 37 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,637 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 84% 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 225,579 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 90% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.