↓ Skip to main content

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Overview of attention for article published in Nature Communications, June 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
60 X users
patent
12 patents
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
reddit
10 Redditors
q&a
1 Q&A thread

Readers on

mendeley
469 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Published in
Nature Communications, June 2018
DOI 10.1038/s41467-018-04316-3
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 60 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 469 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 469 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 96 20%
Researcher 66 14%
Student > Master 62 13%
Student > Bachelor 36 8%
Other 24 5%
Other 68 14%
Unknown 117 25%
Readers by discipline
Readers by discipline Count As %
Computer Science 160 34%
Engineering 67 14%
Physics and Astronomy 27 6%
Agricultural and Biological Sciences 15 3%
Mathematics 12 3%
Other 54 12%
Unknown 134 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 90. 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 06 August 2026.
All research outputs
#603,837
of 34,545,128 outputs
Outputs from Nature Communications
#9,874
of 83,247 outputs
Outputs of similar age
#10,014
of 373,248 outputs
Outputs of similar age from Nature Communications
#207
of 1,184 outputs
Altmetric has tracked 34,545,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,247 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.4. This one has done well, scoring higher than 88% 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 373,248 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 1,184 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.