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Attention Score in Context
Title |
Computing Effective Mixed Strategies for Protecting Targets in Large-Scale Critical Infrastructure Networks
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Published in |
Frontiers in Physics, December 2021
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DOI | 10.3389/fphy.2021.805584 |
Authors |
Zhen Wang, Mengting Jiang, Yu Yang, Lili Chen, Hong Ding |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 December 2021.
All research outputs
#20,221,866
of 22,745,803 outputs
Outputs from Frontiers in Physics
#1,581
of 3,393 outputs
Outputs of similar age
#405,010
of 495,277 outputs
Outputs of similar age from Frontiers in Physics
#104
of 234 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,393 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% 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 495,277 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.