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Determining mineralogical variations of aeolian deposits using thermal infrared emissivity and linear deconvolution methods

Overview of attention for article published in Aeolian Research, February 2018
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Mentioned by

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3 X users

Citations

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7 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Determining mineralogical variations of aeolian deposits using thermal infrared emissivity and linear deconvolution methods
Published in
Aeolian Research, February 2018
DOI 10.1016/j.aeolia.2017.12.001
Authors

Bernard E. Hubbard, Donald M. Hooper, Federico Solano, John C. Mars

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Researcher 6 15%
Student > Master 5 13%
Student > Bachelor 4 10%
Student > Doctoral Student 3 8%
Other 2 5%
Unknown 12 30%
Readers by discipline Count As %
Earth and Planetary Sciences 20 50%
Environmental Science 2 5%
Engineering 2 5%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Other 3 8%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 January 2018.
All research outputs
#15,175,718
of 25,382,440 outputs
Outputs from Aeolian Research
#105
of 241 outputs
Outputs of similar age
#235,434
of 448,849 outputs
Outputs of similar age from Aeolian Research
#2
of 4 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 241 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 54% 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 448,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.