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Characterizing low-grade refractory gold ores using automated mineralogy coupled with LA ICP-MS

Overview of attention for article published in Minerals Engineering, May 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
1 Mendeley
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Title
Characterizing low-grade refractory gold ores using automated mineralogy coupled with LA ICP-MS
Published in
Minerals Engineering, May 2024
DOI 10.1016/j.mineng.2024.108674
Authors

Steve Jason Chingwaru, Margreth Tadie, Bjorn Von der Heyden

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Earth and Planetary Sciences 1 100%
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 15 April 2024.
All research outputs
#15,397,966
of 25,715,849 outputs
Outputs from Minerals Engineering
#637
of 898 outputs
Outputs of similar age
#34,578
of 90,738 outputs
Outputs of similar age from Minerals Engineering
#2
of 5 outputs
Altmetric has tracked 25,715,849 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 898 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% 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 90,738 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 61% of its contemporaries.
We're also able to compare this research output to 5 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.