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The Role of Non-Epistemic Values in Engineering Models

Overview of attention for article published in Science and Engineering Ethics, August 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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26 Dimensions

Readers on

mendeley
70 Mendeley
Title
The Role of Non-Epistemic Values in Engineering Models
Published in
Science and Engineering Ethics, August 2011
DOI 10.1007/s11948-011-9300-4
Pubmed ID
Authors

Sven Diekmann, Martin Peterson

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

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Colombia 1 1%
Poland 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Researcher 15 21%
Student > Master 7 10%
Student > Bachelor 6 9%
Professor 3 4%
Other 9 13%
Unknown 12 17%
Readers by discipline Count As %
Philosophy 13 19%
Social Sciences 6 9%
Engineering 5 7%
Computer Science 4 6%
Agricultural and Biological Sciences 4 6%
Other 24 34%
Unknown 14 20%
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 15 October 2017.
All research outputs
#17,916,870
of 25,998,826 outputs
Outputs from Science and Engineering Ethics
#772
of 990 outputs
Outputs of similar age
#99,168
of 135,406 outputs
Outputs of similar age from Science and Engineering Ethics
#6
of 12 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 990 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 12th percentile – i.e., 12% 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 135,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.