| Title |
Extracting models from source code in software modernization
|
|---|---|
| Published in |
Software and Systems Modeling, September 2012
|
| DOI | 10.1007/s10270-012-0270-z |
| Authors |
Javier Luis Cánovas Izquierdo, Jesús García Molina |
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% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 8% |
| Unknown | 49 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 28% |
| Student > Master | 7 | 13% |
| Student > Doctoral Student | 6 | 11% |
| Researcher | 5 | 9% |
| Student > Bachelor | 4 | 8% |
| Other | 13 | 25% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 40 | 75% |
| Engineering | 6 | 11% |
| Medicine and Dentistry | 1 | 2% |
| Unknown | 6 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 October 2022.
All research outputs
#3,789,636
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#19
of 721 outputs
Outputs of similar age
#25,978
of 170,313 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 10 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 96% 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 170,313 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 10 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