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Principled Schedulability Analysis for Distributed Storage Systems Using Thread Architecture Models

Overview of attention for article published in ACM Transactions on Storage, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 146)
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Principled Schedulability Analysis for Distributed Storage Systems Using Thread Architecture Models
Published in
ACM Transactions on Storage, March 2023
DOI 10.1145/3574323
Authors

Suli Yang, Jing Liu, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 2%
Student > Master 1 2%
Unknown 46 96%
Readers by discipline Count As %
Computer Science 1 2%
Engineering 1 2%
Unknown 46 96%
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 19 December 2022.
All research outputs
#4,399,409
of 23,751,351 outputs
Outputs from ACM Transactions on Storage
#8
of 146 outputs
Outputs of similar age
#83,130
of 417,357 outputs
Outputs of similar age from ACM Transactions on Storage
#1
of 3 outputs
Altmetric has tracked 23,751,351 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 146 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 93% 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 417,357 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 79% of its contemporaries.
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. This one has scored higher than all of them