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Sensor Networks for Aerospace Human-Machine Systems

Overview of attention for article published in Sensors, August 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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28 Dimensions

Readers on

mendeley
108 Mendeley
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Title
Sensor Networks for Aerospace Human-Machine Systems
Published in
Sensors, August 2019
DOI 10.3390/s19163465
Pubmed ID
Authors

Nichakorn Pongsakornsathien, Yixiang Lim, Alessandro Gardi, Samuel Hilton, Lars Planke, Roberto Sabatini, Trevor Kistan, Neta Ezer

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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Student > Master 16 15%
Student > Bachelor 12 11%
Student > Doctoral Student 8 7%
Researcher 8 7%
Other 17 16%
Unknown 27 25%
Readers by discipline Count As %
Engineering 31 29%
Computer Science 9 8%
Business, Management and Accounting 8 7%
Nursing and Health Professions 6 6%
Psychology 5 5%
Other 16 15%
Unknown 33 31%
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 11 September 2019.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Sensors
#14,410
of 24,318 outputs
Outputs of similar age
#270,870
of 356,394 outputs
Outputs of similar age from Sensors
#323
of 533 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,318 research outputs from this source. They receive a mean Attention Score of 3.1. 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 356,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 533 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.