| Title |
User satisfaction and system success: an empirical exploration of user involvement in software development
|
|---|---|
| Published in |
Empirical Software Engineering, November 2016
|
| DOI | 10.1007/s10664-016-9465-1 |
| Authors |
Muneera Bano, Didar Zowghi, Francesca da Rimini |
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% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 157 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 16% |
| Student > Master | 23 | 15% |
| Student > Bachelor | 13 | 8% |
| Lecturer | 12 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 23 | 15% |
| Unknown | 53 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 53 | 34% |
| Business, Management and Accounting | 22 | 14% |
| Social Sciences | 8 | 5% |
| Engineering | 3 | 2% |
| Medicine and Dentistry | 2 | 1% |
| Other | 13 | 8% |
| Unknown | 56 | 36% |
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 08 November 2017.
All research outputs
#15,372,998
of 24,832,302 outputs
Outputs from Empirical Software Engineering
#453
of 757 outputs
Outputs of similar age
#178,543
of 317,975 outputs
Outputs of similar age from Empirical Software Engineering
#27
of 32 outputs
Altmetric has tracked 24,832,302 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 757 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 38th percentile – i.e., 38% 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 317,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.