| Title |
C-K design theory: an advanced formulation
|
|---|---|
| Published in |
Research in Engineering Design, August 2008
|
| DOI | 10.1007/s00163-008-0043-4 |
| Authors |
Armand Hatchuel, Benoit Weil |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Czechia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 471 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 12 | 3% |
| Sweden | 6 | 1% |
| United States | 6 | 1% |
| Australia | 4 | <1% |
| Switzerland | 2 | <1% |
| Brazil | 2 | <1% |
| Germany | 2 | <1% |
| Denmark | 2 | <1% |
| Italy | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 426 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 127 | 27% |
| Student > Master | 71 | 15% |
| Researcher | 62 | 13% |
| Student > Doctoral Student | 40 | 8% |
| Professor > Associate Professor | 23 | 5% |
| Other | 81 | 17% |
| Unknown | 67 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 119 | 25% |
| Design | 77 | 16% |
| Business, Management and Accounting | 70 | 15% |
| Computer Science | 32 | 7% |
| Social Sciences | 22 | 5% |
| Other | 66 | 14% |
| Unknown | 85 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 December 2018.
All research outputs
#12,584,555
of 22,709,015 outputs
Outputs from Research in Engineering Design
#70
of 103 outputs
Outputs of similar age
#68,055
of 83,335 outputs
Outputs of similar age from Research in Engineering Design
#1
of 2 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 30th percentile – i.e., 30% 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 83,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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