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On dynamic memory allocation in sliding-window parallel patterns for streaming analytics

Overview of attention for article published in The Journal of Supercomputing, September 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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4 X users

Citations

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2 Dimensions

Readers on

mendeley
14 Mendeley
Title
On dynamic memory allocation in sliding-window parallel patterns for streaming analytics
Published in
The Journal of Supercomputing, September 2017
DOI 10.1007/s11227-017-2152-1
Authors

M. Torquati, G. Mencagli, M. Drocco, M. Aldinucci, T. De Matteis, M. Danelutto

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 21%
Student > Master 2 14%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Researcher 1 7%
Other 2 14%
Unknown 4 29%
Readers by discipline Count As %
Computer Science 8 57%
Business, Management and Accounting 1 7%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 January 2018.
All research outputs
#7,385,073
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#102
of 543 outputs
Outputs of similar age
#114,248
of 323,627 outputs
Outputs of similar age from The Journal of Supercomputing
#2
of 7 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 80% 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 323,627 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 64% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.