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Modelling urban networks using Variational Autoencoders

Overview of attention for article published in Applied Network Science, November 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 198)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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38 tweeters

Citations

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1 Dimensions

Readers on

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15 Mendeley
Title
Modelling urban networks using Variational Autoencoders
Published in
Applied Network Science, November 2019
DOI 10.1007/s41109-019-0234-0
Authors

Kempinska, Kira, Murcio, Roberto

Twitter Demographics

The data shown below were collected from the profiles of 38 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 02 December 2019.
All research outputs
#689,233
of 14,083,335 outputs
Outputs from Applied Network Science
#20
of 198 outputs
Outputs of similar age
#22,585
of 268,030 outputs
Outputs of similar age from Applied Network Science
#9
of 100 outputs
Altmetric has tracked 14,083,335 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done well, scoring higher than 89% 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 268,030 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 91% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.