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Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks

Overview of attention for article published in Applied Network Science, September 2022
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Title
Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks
Published in
Applied Network Science, September 2022
DOI 10.1007/s41109-022-00504-9
Authors

Liliana Martirano, Lorenzo Zangari, Andrea Tagarelli

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 October 2022.
All research outputs
#14,687,450
of 23,523,017 outputs
Outputs from Applied Network Science
#340
of 513 outputs
Outputs of similar age
#204,128
of 436,202 outputs
Outputs of similar age from Applied Network Science
#12
of 20 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 31st percentile – i.e., 31% 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 436,202 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 50% 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 is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.