↓ Skip to main content

Describing complex design practices with a cross-domain framework: learning from Synthetic Biology and Swarm Robotics

Overview of attention for article published in Research in Engineering Design, March 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 103)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
52 Mendeley
Title
Describing complex design practices with a cross-domain framework: learning from Synthetic Biology and Swarm Robotics
Published in
Research in Engineering Design, March 2016
DOI 10.1007/s00163-016-0219-2
Authors

Chih-Chun Chen, Nathan Crilly

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Taiwan 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 8 15%
Student > Bachelor 5 10%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Other 11 21%
Unknown 7 13%
Readers by discipline Count As %
Engineering 12 23%
Computer Science 10 19%
Design 7 13%
Agricultural and Biological Sciences 4 8%
Social Sciences 3 6%
Other 7 13%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 27 November 2022.
All research outputs
#1,828,857
of 23,202,641 outputs
Outputs from Research in Engineering Design
#4
of 103 outputs
Outputs of similar age
#31,198
of 299,485 outputs
Outputs of similar age from Research in Engineering Design
#2
of 6 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 96% of its peers.
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 299,485 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.