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Deposit model for heavy-mineral sands in coastal environments: Chapter L in Mineral deposit models for resource assessment

Overview of attention for article published in US Geological Survey, January 2014
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1 tweeter

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3 Mendeley
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Title
Deposit model for heavy-mineral sands in coastal environments: Chapter L in <i>Mineral deposit models for resource assessment</i>
Published in
US Geological Survey, January 2014
DOI 10.3133/sir20105070l
Authors

Bradley S. Van Gosen, David L. Fey, Anjana K. Shah, Philip L. Verplanck, Todd M. Hoefen, Van Gosen, Bradley S., Fey, David L., Shah, Anjana K., Verplanck, Philip L., Hoefen, Todd M.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Other 1 33%
Student > Ph. D. Student 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Earth and Planetary Sciences 2 67%
Physics and Astronomy 1 33%
Chemistry 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 May 2017.
All research outputs
#7,532,705
of 9,772,430 outputs
Outputs from US Geological Survey
#966
of 1,145 outputs
Outputs of similar age
#216,707
of 317,101 outputs
Outputs of similar age from US Geological Survey
#50
of 56 outputs
Altmetric has tracked 9,772,430 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,145 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 317,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.