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High-performance computing for the optimization of high-pressure thermal treatments in food industry

Overview of attention for article published in Journal of Supercomputing, April 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
Title
High-performance computing for the optimization of high-pressure thermal treatments in food industry
Published in
Journal of Supercomputing, April 2018
DOI 10.1007/s11227-018-2351-4
Authors

M. R. Ferrández, S. Puertas-Martín, J. L. Redondo, B. Ivorra, A. M. Ramos, P. M. Ortigosa

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Mathematics 1 33%
Computer Science 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 April 2019.
All research outputs
#8,307,894
of 13,255,897 outputs
Outputs from Journal of Supercomputing
#164
of 250 outputs
Outputs of similar age
#149,181
of 251,280 outputs
Outputs of similar age from Journal of Supercomputing
#2
of 3 outputs
Altmetric has tracked 13,255,897 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 250 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 19th percentile – i.e., 19% 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 251,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.