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Additive manufacturing technology in mining engineering research

Overview of attention for article published in DEEP UNDERGROUND SCIENCE AND ENGINEERING, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 Mendeley
Title
Additive manufacturing technology in mining engineering research
Published in
DEEP UNDERGROUND SCIENCE AND ENGINEERING, September 2022
DOI 10.1002/dug2.12014
Authors

Xiaowei Feng, Valter Carvelli

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 14%
Unknown 6 86%
Readers by discipline Count As %
Engineering 1 14%
Unknown 6 86%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 November 2023.
All research outputs
#14,892,082
of 26,170,906 outputs
Outputs from DEEP UNDERGROUND SCIENCE AND ENGINEERING
#7
of 38 outputs
Outputs of similar age
#174,342
of 437,694 outputs
Outputs of similar age from DEEP UNDERGROUND SCIENCE AND ENGINEERING
#3
of 9 outputs
Altmetric has tracked 26,170,906 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38 research outputs from this source. They receive a mean Attention Score of 1.9. This one scored the same or higher as 31 of them.
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 437,694 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 59% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.