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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RELAX: a language to address uncertainty in self-adaptive systems requirement
|
|---|---|
| Published in |
Requirements Engineering, March 2010
|
| DOI | 10.1007/s00766-010-0101-0 |
| Authors |
Jon Whittle, Pete Sawyer, Nelly Bencomo, Betty H. C. Cheng, Jean-Michel Bruel |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 75% |
| Australia | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 4 | 3% |
| Sweden | 3 | 2% |
| Brazil | 2 | 1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 129 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 35% |
| Student > Master | 20 | 14% |
| Researcher | 16 | 11% |
| Student > Bachelor | 9 | 6% |
| Student > Doctoral Student | 7 | 5% |
| Other | 26 | 18% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 110 | 76% |
| Engineering | 11 | 8% |
| Nursing and Health Professions | 2 | 1% |
| Economics, Econometrics and Finance | 2 | 1% |
| Unspecified | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 15 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 December 2016.
All research outputs
#6,770,106
of 22,914,829 outputs
Outputs from Requirements Engineering
#39
of 199 outputs
Outputs of similar age
#32,306
of 95,279 outputs
Outputs of similar age from Requirements Engineering
#2
of 3 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 199 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 79% 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 95,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.