| Title |
From Non-Functional Requirements to Design through Patterns
|
|---|---|
| Published in |
Requirements Engineering, February 2001
|
| DOI | 10.1007/s007660170013 |
| Authors |
Daniel Gross, Eric Yu |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 2% |
| Canada | 3 | 1% |
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Brazil | 2 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Other | 9 | 4% |
| Unknown | 179 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 47 | 23% |
| Student > Ph. D. Student | 42 | 20% |
| Student > Bachelor | 21 | 10% |
| Researcher | 20 | 10% |
| Student > Doctoral Student | 9 | 4% |
| Other | 40 | 20% |
| Unknown | 26 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 131 | 64% |
| Engineering | 21 | 10% |
| Psychology | 3 | 1% |
| Design | 3 | 1% |
| Business, Management and Accounting | 3 | 1% |
| Other | 12 | 6% |
| Unknown | 32 | 16% |
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 29 November 2016.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Requirements Engineering
#136
of 199 outputs
Outputs of similar age
#96,315
of 113,661 outputs
Outputs of similar age from Requirements Engineering
#1
of 1 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199 research outputs from this source. They receive a mean Attention Score of 2.9. 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 113,661 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% 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