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Optimization of BEM-based Cooling Channels Injection Moulding Using Model Reduction

Overview of attention for article published in International Journal of Material Forming, April 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
9 Mendeley
Title
Optimization of BEM-based Cooling Channels Injection Moulding Using Model Reduction
Published in
International Journal of Material Forming, April 2008
DOI 10.1007/s12289-008-0197-7
Authors

N. Pirc, F. Schmidt, M. Mongeau, F. Bugarin, F. Chinesta

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 11%
France 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Student > Doctoral Student 2 22%
Professor > Associate Professor 2 22%
Student > Ph. D. Student 2 22%
Other 1 11%
Other 0 0%
Readers by discipline Count As %
Engineering 6 67%
Materials Science 2 22%
Mathematics 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 August 2016.
All research outputs
#4,485,112
of 23,975,976 outputs
Outputs from International Journal of Material Forming
#2
of 77 outputs
Outputs of similar age
#14,644
of 84,104 outputs
Outputs of similar age from International Journal of Material Forming
#1
of 11 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 77 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 92% 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 84,104 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.