| Title |
From requirements to UML models and back: how automatic processing of text can support requirements engineering
|
|---|---|
| Published in |
Software Quality Journal, July 2013
|
| DOI | 10.1007/s11219-013-9210-6 |
| Authors |
Mathias Landhäußer, Sven J. Körner, Walter F. Tichy |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 1% |
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 74 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 29% |
| Student > Ph. D. Student | 15 | 19% |
| Researcher | 7 | 9% |
| Professor | 6 | 8% |
| Student > Postgraduate | 5 | 6% |
| Other | 12 | 16% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 66% |
| Engineering | 5 | 6% |
| Business, Management and Accounting | 2 | 3% |
| Linguistics | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 14 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 December 2016.
All research outputs
#7,556,475
of 23,049,027 outputs
Outputs from Software Quality Journal
#26
of 145 outputs
Outputs of similar age
#65,578
of 195,238 outputs
Outputs of similar age from Software Quality Journal
#1
of 6 outputs
Altmetric has tracked 23,049,027 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 57% 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 195,238 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 50% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them