| Title |
Dealing with software process requirements complexity: an information access proposal based on semantic technologies
|
|---|---|
| Published in |
Requirements Engineering, June 2016
|
| DOI | 10.1007/s00766-016-0256-4 |
| Authors |
Ricardo Eito-Brun, Antonio Amescua |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 6 | 14% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 49% |
| Engineering | 6 | 14% |
| Economics, Econometrics and Finance | 1 | 2% |
| Unknown | 15 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 November 2017.
All research outputs
#7,845,813
of 24,525,534 outputs
Outputs from Requirements Engineering
#50
of 207 outputs
Outputs of similar age
#119,329
of 345,882 outputs
Outputs of similar age from Requirements Engineering
#3
of 4 outputs
Altmetric has tracked 24,525,534 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 207 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 75% 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 345,882 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 65% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.