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NNBlocks: a Blockly framework for AI computing

Overview of attention for article published in The Journal of Supercomputing, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
22 Mendeley
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Article details
Title
NNBlocks: a Blockly framework for AI computing
Published in
The Journal of Supercomputing, January 2021
DOI 10.1007/s11227-021-03631-9
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 3 14%
Researcher 2 9%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Professor 1 5%
Other 3 14%
Unknown 11 50%
Readers by discipline
Readers by discipline Count As %
Computer Science 7 32%
Arts and Humanities 1 5%
Business, Management and Accounting 1 5%
Decision Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 11 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 December 2024.
All research outputs
#8,062,481
of 24,220,739 outputs
Outputs from The Journal of Supercomputing
#117
of 554 outputs
Outputs of similar age
#195,881
of 512,676 outputs
Outputs of similar age from The Journal of Supercomputing
#3
of 15 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 554 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 45th percentile – i.e., 45% 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 512,676 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 56% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.