| Title |
A Creative Approach to Reducing Ambiguity In Scenario-based Software Architecture Analysis
|
|---|---|
| Published in |
Machine Intelligence Research, January 2018
|
| DOI | 10.1007/s11633-017-1102-y |
| Authors |
Xi-Wen Wu, Chen Li, Xuan Wang, Hong-Ji Yang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Lecturer | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 59% |
| Engineering | 2 | 9% |
| Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 April 2018.
All research outputs
#16,584,977
of 25,382,440 outputs
Outputs from Machine Intelligence Research
#134
of 444 outputs
Outputs of similar age
#269,026
of 451,258 outputs
Outputs of similar age from Machine Intelligence Research
#2
of 10 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 67% 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 451,258 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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 8 of them.