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Human factors hazard modeling in the systems modeling language

Overview of attention for article published in Systems Engineering, January 2023
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Mentioned by

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1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Human factors hazard modeling in the systems modeling language
Published in
Systems Engineering, January 2023
DOI 10.1002/sys.21659
Authors

Dustin S. Birch, Jayesh Narsinghani, Daniel Herber, Thomas H. Bradley

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Design 1 33%
Unknown 1 33%
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 01 February 2023.
All research outputs
#18,836,571
of 23,342,092 outputs
Outputs from Systems Engineering
#129
of 185 outputs
Outputs of similar age
#258,430
of 384,605 outputs
Outputs of similar age from Systems Engineering
#2
of 4 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 185 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 3rd percentile – i.e., 3% 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 384,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.