| Title |
Automated analysis of feature models: Quo vadis?
|
|---|---|
| Published in |
Computing, August 2018
|
| DOI | 10.1007/s00607-018-0646-1 |
| Authors |
José A. Galindo, David Benavides, Pablo Trinidad, Antonio-Manuel Gutiérrez-Fernández, Antonio Ruiz-Cortés |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Japan | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Student > Master | 11 | 13% |
| Professor | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 17 | 19% |
| Unknown | 22 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 47% |
| Engineering | 11 | 13% |
| Arts and Humanities | 2 | 2% |
| Social Sciences | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 27 | 31% |
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 12 September 2018.
All research outputs
#6,990,849
of 25,732,188 outputs
Outputs from Computing
#49
of 235 outputs
Outputs of similar age
#110,465
of 342,664 outputs
Outputs of similar age from Computing
#1
of 1 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 72nd percentile.
So far Altmetric has tracked 235 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 79% 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 342,664 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 67% of its contemporaries.
We're also able to compare this research output to 1 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