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Attention Score in Context
Title |
Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks
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Published in |
International Journal of Systems Science, March 2024
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DOI | 10.1080/00207721.2024.2328781 |
Authors |
R. Caballero-Águila, J. Hu, J. Linares-Pérez |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
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 09 May 2024.
All research outputs
#17,076,220
of 25,870,940 outputs
Outputs from International Journal of Systems Science
#76
of 145 outputs
Outputs of similar age
#157,170
of 322,980 outputs
Outputs of similar age from International Journal of Systems Science
#1
of 1 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 46th percentile – i.e., 46% 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 322,980 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them