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Reconstructing vapor pressure deficit from leaf wax lipid molecular distributions

Overview of attention for article published in Scientific Reports, March 2018
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
10 X users
facebook
1 Facebook page
video
1 YouTube creator

Citations

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29 Dimensions

Readers on

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93 Mendeley
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Title
Reconstructing vapor pressure deficit from leaf wax lipid molecular distributions
Published in
Scientific Reports, March 2018
DOI 10.1038/s41598-018-21959-w
Pubmed ID
Authors

Yvette L. Eley, Michael T. Hren

Abstract

Estimates of atmospheric moisture are critical for understanding the links and feedbacks between atmospheric CO2and global climate. At present, there are few quantitative moisture proxies that are applicable to deep time. We present a new proxy for atmospheric moisture derived from modern climate and leaf biomarker data from North and Central America. Plants have a direct genetic pathway to regulate the production of lipids in response to osmotic stress, which is manifested in a change in the distribution of simple aliphatic lipids such as n-alkanes. The Average Chain Length (ACL) of these lipids is therefore statistically related to mean annual vapor pressure deficit (VPDav), enabling quantitative reconstruction of VPD from sedimentary n-alkanes. We apply this transfer function to the Armantes section of the Calatayud-Daroca Basin in Central Spain, that spans the Middle Miocene Climatic Optimum (MMCO) and the Middle Miocene Climate Transition (MMCT). Reconstructed VPDavrises from 0.13 to 0.92 kPa between 16.5 and 12.4 Ma, indicating a substantial drying through the MMCT. These data are consistent with fossil assemblages and mammalian stable isotope data, highlighting the utility of this new organic molecular tool for quantifying hydrologic variability over geologic timescales.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Researcher 13 14%
Student > Master 10 11%
Student > Doctoral Student 8 9%
Student > Bachelor 8 9%
Other 14 15%
Unknown 19 20%
Readers by discipline Count As %
Earth and Planetary Sciences 33 35%
Environmental Science 10 11%
Agricultural and Biological Sciences 6 6%
Chemistry 3 3%
Arts and Humanities 3 3%
Other 11 12%
Unknown 27 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 90. 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 May 2020.
All research outputs
#440,257
of 24,153,435 outputs
Outputs from Scientific Reports
#4,889
of 131,340 outputs
Outputs of similar age
#10,776
of 335,130 outputs
Outputs of similar age from Scientific Reports
#151
of 3,954 outputs
Altmetric has tracked 24,153,435 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 131,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 96% 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 335,130 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 96% of its contemporaries.
We're also able to compare this research output to 3,954 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 96% of its contemporaries.