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Research on interaction and trust theory model for cockpit human-machine fusion intelligence

Overview of attention for article published in Frontiers in Neuroscience, March 2024
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1 X user

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1 Mendeley
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Title
Research on interaction and trust theory model for cockpit human-machine fusion intelligence
Published in
Frontiers in Neuroscience, March 2024
DOI 10.3389/fnins.2024.1352736
Pubmed ID
Authors

Ya Duan, Yandong Cai, Ran Peng, Hua Zhao, Yue Feng, Xiaolong You

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Medicine and Dentistry 1 100%
Attention Score in Context

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 26 March 2024.
All research outputs
#22,925,962
of 25,563,770 outputs
Outputs from Frontiers in Neuroscience
#10,255
of 11,619 outputs
Outputs of similar age
#183,285
of 228,747 outputs
Outputs of similar age from Frontiers in Neuroscience
#115
of 141 outputs
Altmetric has tracked 25,563,770 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 11,619 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 228,747 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 141 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.