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Meta-path-based key node identification in heterogeneous networks

Overview of attention for article published in Frontiers in Physics, March 2024
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  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Title
Meta-path-based key node identification in heterogeneous networks
Published in
Frontiers in Physics, March 2024
DOI 10.3389/fphy.2024.1351500
Authors

Pengtao Wang, Jian Shu, Linlan Liu, Xiaolong Yao

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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 26 March 2024.
All research outputs
#16,610,215
of 26,183,699 outputs
Outputs from Frontiers in Physics
#687
of 4,562 outputs
Outputs of similar age
#161,637
of 350,238 outputs
Outputs of similar age from Frontiers in Physics
#5
of 118 outputs
Altmetric has tracked 26,183,699 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,562 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 82% 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 350,238 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 118 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 94% of its contemporaries.