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Array databases: concepts, standards, implementations

Overview of attention for article published in Journal of Big Data, February 2021
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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 (#46 of 289)
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
45 Mendeley
Title
Array databases: concepts, standards, implementations
Published in
Journal of Big Data, February 2021
DOI 10.1186/s40537-020-00399-2
Authors

Peter Baumann, Dimitar Misev, Vlad Merticariu, Bang Pham Huu

Twitter Demographics

The data shown below were collected from the profiles of 15 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 6 13%
Student > Master 3 7%
Other 3 7%
Student > Bachelor 2 4%
Other 6 13%
Unknown 14 31%
Readers by discipline Count As %
Computer Science 18 40%
Engineering 4 9%
Earth and Planetary Sciences 3 7%
Environmental Science 2 4%
Social Sciences 1 2%
Other 1 2%
Unknown 16 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 June 2021.
All research outputs
#2,060,106
of 19,722,829 outputs
Outputs from Journal of Big Data
#46
of 289 outputs
Outputs of similar age
#61,060
of 369,364 outputs
Outputs of similar age from Journal of Big Data
#1
of 1 outputs
Altmetric has tracked 19,722,829 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. 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 369,364 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 83% of its contemporaries.
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