| Title |
Understanding Ill-Structured Engineering Ethics Problems Through a Collaborative Learning and Argument Visualization Approach
|
|---|---|
| Published in |
Science and Engineering Ethics, February 2013
|
| DOI | 10.1007/s11948-013-9430-y |
| Pubmed ID | |
| Authors |
Michael Hoffmann, Jason Borenstein |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 1% |
| Colombia | 1 | 1% |
| United States | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 75 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 20% |
| Researcher | 11 | 14% |
| Student > Doctoral Student | 9 | 11% |
| Professor > Associate Professor | 8 | 10% |
| Lecturer | 7 | 9% |
| Other | 20 | 25% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 14 | 18% |
| Engineering | 13 | 16% |
| Arts and Humanities | 8 | 10% |
| Computer Science | 5 | 6% |
| Nursing and Health Professions | 4 | 5% |
| Other | 25 | 32% |
| Unknown | 10 | 13% |
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 31 December 2015.
All research outputs
#7,943,894
of 23,911,072 outputs
Outputs from Science and Engineering Ethics
#499
of 947 outputs
Outputs of similar age
#66,155
of 195,830 outputs
Outputs of similar age from Science and Engineering Ethics
#4
of 10 outputs
Altmetric has tracked 23,911,072 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 947 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 37th percentile – i.e., 37% 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 195,830 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.