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A statistical sub-sampling tool for extracting vegetation community and diversity information from pollen assemblage data

Overview of attention for article published in Palaeogeography, Palaeoclimatology, Palaeoecology, August 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
24 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
101 Mendeley
citeulike
1 CiteULike
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Title
A statistical sub-sampling tool for extracting vegetation community and diversity information from pollen assemblage data
Published in
Palaeogeography, Palaeoclimatology, Palaeoecology, August 2014
DOI 10.1016/j.palaeo.2014.05.001
Authors

Hayley F. Keen, William D. Gosling, Felix Hanke, Charlotte S. Miller, Encarni Montoya, Bryan G. Valencia, Joseph J. Williams

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 3 3%
United Kingdom 1 <1%
Canada 1 <1%
Jamaica 1 <1%
United States 1 <1%
Unknown 94 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 24%
Student > Ph. D. Student 22 22%
Student > Master 12 12%
Student > Doctoral Student 7 7%
Lecturer 5 5%
Other 19 19%
Unknown 12 12%
Readers by discipline Count As %
Environmental Science 38 38%
Earth and Planetary Sciences 23 23%
Agricultural and Biological Sciences 16 16%
Biochemistry, Genetics and Molecular Biology 2 2%
Computer Science 1 <1%
Other 3 3%
Unknown 18 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 12 February 2016.
All research outputs
#1,660,718
of 25,837,817 outputs
Outputs from Palaeogeography, Palaeoclimatology, Palaeoecology
#228
of 4,378 outputs
Outputs of similar age
#16,156
of 241,493 outputs
Outputs of similar age from Palaeogeography, Palaeoclimatology, Palaeoecology
#3
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 93% 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 241,493 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 93% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.