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Data adapter for querying and transformation between SQL and NoSQL database

Overview of attention for article published in Future Generation Computer Systems, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
138 Mendeley
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Article details
Title
Data adapter for querying and transformation between SQL and NoSQL database
Published in
Future Generation Computer Systems, December 2016
DOI 10.1016/j.future.2016.02.002
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 30 22%
Student > Ph. D. Student 19 14%
Student > Bachelor 17 12%
Researcher 12 9%
Student > Doctoral Student 7 5%
Other 19 14%
Unknown 34 25%
Readers by discipline
Readers by discipline Count As %
Computer Science 76 55%
Engineering 15 11%
Business, Management and Accounting 5 4%
Energy 2 1%
Mathematics 1 <1%
Other 5 4%
Unknown 34 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 31 January 2023.
All research outputs
#7,390,535
of 33,979,905 outputs
Outputs from Future Generation Computer Systems
#348
of 2,231 outputs
Outputs of similar age
#103,087
of 452,923 outputs
Outputs of similar age from Future Generation Computer Systems
#4
of 20 outputs
Altmetric has tracked 33,979,905 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,231 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 452,923 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 75% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.