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NIRS quantification of lake sediment composition by multiple regression using end-member spectra

Overview of attention for article published in Journal of Paleolimnology, March 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
9 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
23 Mendeley
Title
NIRS quantification of lake sediment composition by multiple regression using end-member spectra
Published in
Journal of Paleolimnology, March 2019
DOI 10.1007/s10933-019-00076-2
Authors

Fiona E. Russell, John F. Boyle, Richard C. Chiverrell

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 4 17%
Student > Doctoral Student 2 9%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Other 2 9%
Unknown 7 30%
Readers by discipline Count As %
Environmental Science 8 35%
Earth and Planetary Sciences 6 26%
Physics and Astronomy 1 4%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 April 2019.
All research outputs
#5,544,508
of 23,138,859 outputs
Outputs from Journal of Paleolimnology
#66
of 404 outputs
Outputs of similar age
#102,787
of 351,521 outputs
Outputs of similar age from Journal of Paleolimnology
#4
of 7 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 404 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 83% 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 351,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.