| Title |
Requirements reuse and requirement patterns: a state of the practice survey
|
|---|---|
| Published in |
Empirical Software Engineering, December 2016
|
| DOI | 10.1007/s10664-016-9485-x |
| Authors |
Cristina Palomares, Carme Quer, Xavier Franch |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Sweden | 1 | 17% |
| Spain | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 100 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 25% |
| Student > Ph. D. Student | 18 | 18% |
| Student > Bachelor | 10 | 10% |
| Professor | 5 | 5% |
| Researcher | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 23 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 61% |
| Engineering | 9 | 9% |
| Social Sciences | 2 | 2% |
| Agricultural and Biological Sciences | 1 | <1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 22 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 February 2018.
All research outputs
#7,247,850
of 25,732,188 outputs
Outputs from Empirical Software Engineering
#212
of 793 outputs
Outputs of similar age
#121,985
of 424,656 outputs
Outputs of similar age from Empirical Software Engineering
#13
of 29 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 424,656 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 71% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.