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Combining human error verification and timing analysis: a case study on an infusion pump

Overview of attention for article published in Formal Aspects of Computing, November 2013
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Mentioned by

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1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
13 Mendeley
Title
Combining human error verification and timing analysis: a case study on an infusion pump
Published in
Formal Aspects of Computing, November 2013
DOI 10.1007/s00165-013-0288-1
Authors

Rimvydas Rukšėnas, Paul Curzon, Ann Blandford, Jonathan Back

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Researcher 2 15%
Professor 2 15%
Lecturer > Senior Lecturer 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 5 38%
Engineering 2 15%
Arts and Humanities 1 8%
Nursing and Health Professions 1 8%
Business, Management and Accounting 1 8%
Other 2 15%
Unknown 1 8%
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 January 2015.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from Formal Aspects of Computing
#113
of 132 outputs
Outputs of similar age
#201,542
of 227,976 outputs
Outputs of similar age from Formal Aspects of Computing
#1
of 1 outputs
Altmetric has tracked 25,371,288 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 132 research outputs from this source. They receive a mean Attention Score of 2.4. 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 227,976 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 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