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Quantifying pollen-vegetation relationships to reconstruct ancient forests using 19th-century forest composition and pollen data

Overview of attention for article published in Quaternary Science Reviews, April 2016
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
24 tweeters

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Quantifying pollen-vegetation relationships to reconstruct ancient forests using 19th-century forest composition and pollen data
Published in
Quaternary Science Reviews, April 2016
DOI 10.1016/j.quascirev.2016.01.012
Authors

Andria Dawson, Christopher J. Paciorek, Jason S. McLachlan, Simon Goring, John W. Williams, Stephen T. Jackson

Twitter Demographics

The data shown below were collected from the profiles of 24 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
France 1 1%
Unknown 85 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 17%
Student > Ph. D. Student 14 16%
Student > Master 13 15%
Student > Bachelor 9 10%
Professor 8 9%
Other 11 12%
Unknown 19 21%
Readers by discipline Count As %
Environmental Science 22 25%
Earth and Planetary Sciences 18 20%
Agricultural and Biological Sciences 17 19%
Biochemistry, Genetics and Molecular Biology 2 2%
Social Sciences 2 2%
Other 4 4%
Unknown 24 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 2017.
All research outputs
#1,873,788
of 19,524,015 outputs
Outputs from Quaternary Science Reviews
#589
of 3,163 outputs
Outputs of similar age
#33,959
of 274,868 outputs
Outputs of similar age from Quaternary Science Reviews
#10
of 52 outputs
Altmetric has tracked 19,524,015 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 3,163 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 81% 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 274,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.