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Scalability of write-ahead logging on multicore and multisocket hardware

Overview of attention for article published in The VLDB Journal — The International Journal on Very Large Data Bases, December 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 247)
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

twitter
1 tweeter
patent
3 patents

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
1 CiteULike
Title
Scalability of write-ahead logging on multicore and multisocket hardware
Published in
The VLDB Journal — The International Journal on Very Large Data Bases, December 2011
DOI 10.1007/s00778-011-0260-8
Authors

Ryan Johnson, Ippokratis Pandis, Radu Stoica, Manos Athanassoulis, Anastasia Ailamaki

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

Geographical breakdown

Country Count As %
Germany 1 3%
United States 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 38%
Student > Master 5 13%
Researcher 5 13%
Student > Doctoral Student 4 10%
Unspecified 3 8%
Other 8 20%
Readers by discipline Count As %
Computer Science 35 88%
Unspecified 4 10%
Chemistry 1 3%

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 13 December 2016.
All research outputs
#2,655,469
of 11,224,840 outputs
Outputs from The VLDB Journal — The International Journal on Very Large Data Bases
#35
of 247 outputs
Outputs of similar age
#22,733
of 103,551 outputs
Outputs of similar age from The VLDB Journal — The International Journal on Very Large Data Bases
#1
of 3 outputs
Altmetric has tracked 11,224,840 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 247 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% 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 103,551 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 77% 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