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A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys

Overview of attention for article published in Corrosion Science, January 2011
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Mentioned by

patent
10 patents

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
62 Mendeley
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Title
A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys
Published in
Corrosion Science, January 2011
DOI 10.1016/j.corsci.2010.09.013
Authors

N. Birbilis, M.K. Cavanaugh, A.D. Sudholz, S.M. Zhu, M.A. Easton, M.A. Gibson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Norway 1 2%
Brazil 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 27%
Researcher 17 27%
Student > Master 6 10%
Professor > Associate Professor 4 6%
Professor 3 5%
Other 6 10%
Unknown 9 15%
Readers by discipline Count As %
Materials Science 20 32%
Engineering 12 19%
Chemistry 7 11%
Chemical Engineering 2 3%
Computer Science 1 2%
Other 2 3%
Unknown 18 29%
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 15 November 2022.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Corrosion Science
#302
of 1,257 outputs
Outputs of similar age
#57,804
of 190,469 outputs
Outputs of similar age from Corrosion Science
#5
of 17 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,257 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 20th percentile – i.e., 20% 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 190,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.