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BBoxDB: a distributed and highly available key-bounding-box-value store

Overview of attention for article published in Distributed & Parallel Databases, November 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
Title
BBoxDB: a distributed and highly available key-bounding-box-value store
Published in
Distributed & Parallel Databases, November 2019
DOI 10.1007/s10619-019-07275-w
Authors

Jan Kristof Nidzwetzki, Ralf Hartmut Güting

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 November 2019.
All research outputs
#9,345,752
of 15,260,163 outputs
Outputs from Distributed & Parallel Databases
#86
of 108 outputs
Outputs of similar age
#191,014
of 346,314 outputs
Outputs of similar age from Distributed & Parallel Databases
#1
of 1 outputs
Altmetric has tracked 15,260,163 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 108 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 346,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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