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The value of automated mineralogy

Overview of attention for article published in Minerals Engineering, April 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
114 Mendeley
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Title
The value of automated mineralogy
Published in
Minerals Engineering, April 2014
DOI 10.1016/j.mineng.2014.01.020
Authors

Ying Gu, Robert P. Schouwstra, Chris Rule

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 2%
India 1 <1%
Australia 1 <1%
Unknown 110 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 21%
Student > Ph. D. Student 21 18%
Researcher 16 14%
Student > Doctoral Student 9 8%
Student > Bachelor 7 6%
Other 24 21%
Unknown 13 11%
Readers by discipline Count As %
Earth and Planetary Sciences 37 32%
Engineering 32 28%
Chemical Engineering 7 6%
Medicine and Dentistry 3 3%
Physics and Astronomy 2 2%
Other 12 11%
Unknown 21 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 March 2021.
All research outputs
#7,959,659
of 25,371,288 outputs
Outputs from Minerals Engineering
#222
of 884 outputs
Outputs of similar age
#72,201
of 239,195 outputs
Outputs of similar age from Minerals Engineering
#3
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 884 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 74% 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 239,195 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 68% of its contemporaries.
We're also able to compare this research output to 6 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.