| Title |
Assessing the quality of industrial avionics software: an extensive empirical evaluation
|
|---|---|
| Published in |
Empirical Software Engineering, July 2016
|
| DOI | 10.1007/s10664-016-9440-x |
| Authors |
Ji Wu, Shaukat Ali, Tao Yue, Jie Tian, Chao Liu |
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 States | 1 | 33% |
| Sweden | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Student > Master | 5 | 21% |
| Researcher | 3 | 13% |
| Student > Bachelor | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 54% |
| Engineering | 3 | 13% |
| Social Sciences | 2 | 8% |
| Business, Management and Accounting | 2 | 8% |
| Unknown | 4 | 17% |
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 06 September 2017.
All research outputs
#13,986,547
of 22,882,389 outputs
Outputs from Empirical Software Engineering
#427
of 705 outputs
Outputs of similar age
#195,869
of 351,889 outputs
Outputs of similar age from Empirical Software Engineering
#9
of 13 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. 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 351,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.