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HaRD: a heterogeneity-aware replica deletion for HDFS

Overview of attention for article published in Journal of Big Data, October 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 (75th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
14 Mendeley
Title
HaRD: a heterogeneity-aware replica deletion for HDFS
Published in
Journal of Big Data, October 2019
DOI 10.1186/s40537-019-0256-6
Pubmed ID
Authors

Hilmi Egemen Ciritoglu, John Murphy, Christina Thorpe

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 %
Student > Master 3 21%
Librarian 1 7%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Researcher 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Computer Science 5 36%
Business, Management and Accounting 1 7%
Agricultural and Biological Sciences 1 7%
Decision Sciences 1 7%
Unknown 6 43%
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 01 December 2019.
All research outputs
#8,163,928
of 25,374,647 outputs
Outputs from Journal of Big Data
#149
of 391 outputs
Outputs of similar age
#140,633
of 371,440 outputs
Outputs of similar age from Journal of Big Data
#5
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 62% 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 371,440 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 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.