| Title |
Breathing ontological knowledge into feature model synthesis: an empirical study
|
|---|---|
| Published in |
Empirical Software Engineering, March 2015
|
| DOI | 10.1007/s10664-014-9357-1 |
| Authors |
Guillaume Bécan, Mathieu Acher, Benoit Baudry, Sana Ben Nasr |
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 % |
|---|---|---|
| France | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 2% |
| Canada | 1 | 2% |
| New Zealand | 1 | 2% |
| Belgium | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 40 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 38% |
| Student > Master | 10 | 22% |
| Researcher | 4 | 9% |
| Student > Postgraduate | 2 | 4% |
| Other | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 62% |
| Engineering | 3 | 7% |
| Business, Management and Accounting | 1 | 2% |
| Unknown | 13 | 29% |
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 28 September 2016.
All research outputs
#7,208,088
of 22,794,367 outputs
Outputs from Empirical Software Engineering
#264
of 705 outputs
Outputs of similar age
#83,913
of 258,823 outputs
Outputs of similar age from Empirical Software Engineering
#3
of 23 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 705 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 62% 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 258,823 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 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.