| Title |
An experiment on the impact of transparency on the effectiveness of requirements documents
|
|---|---|
| Published in |
Empirical Software Engineering, February 2015
|
| DOI | 10.1007/s10664-015-9374-8 |
| Authors |
Yu-Cheng Tu, Ewan Tempero, Clark Thomborson |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 3% |
| Peru | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Bachelor | 5 | 14% |
| Student > Postgraduate | 5 | 14% |
| Student > Master | 4 | 11% |
| Professor | 4 | 11% |
| Other | 6 | 17% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 61% |
| Engineering | 4 | 11% |
| Business, Management and Accounting | 2 | 6% |
| Social Sciences | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 5 | 14% |
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 20 June 2016.
All research outputs
#20,334,427
of 22,879,161 outputs
Outputs from Empirical Software Engineering
#624
of 705 outputs
Outputs of similar age
#215,445
of 255,553 outputs
Outputs of similar age from Empirical Software Engineering
#9
of 20 outputs
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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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.