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Computational storage: an efficient and scalable platform for big data and HPC applications

Overview of attention for article published in Journal of Big Data, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
10 Mendeley
Title
Computational storage: an efficient and scalable platform for big data and HPC applications
Published in
Journal of Big Data, November 2019
DOI 10.1186/s40537-019-0265-5
Authors

Mahdi Torabzadehkashi, Siavash Rezaei, Ali HeydariGorji, Hosein Bobarshad, Vladimir Alves, Nader Bagherzadeh

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 2 20%
Lecturer > Senior Lecturer 1 10%
Professor 1 10%
Researcher 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 6 60%
Business, Management and Accounting 1 10%
Engineering 1 10%
Unknown 2 20%

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 19 January 2020.
All research outputs
#4,959,388
of 16,636,435 outputs
Outputs from Journal of Big Data
#84
of 243 outputs
Outputs of similar age
#103,732
of 278,254 outputs
Outputs of similar age from Journal of Big Data
#22
of 69 outputs
Altmetric has tracked 16,636,435 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 243 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 64% 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 278,254 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 62% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.