You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Generative and Transformational Techniques in Software Engineering
|
|---|---|
| Chapter number | 2 |
| Book title |
Generative and Transformational Techniques in Software Engineering
|
| Published in |
Lecture notes in computer science, May 2016
|
| DOI | 10.1007/11877028_2 |
| Book ISBNs |
978-3-54-045778-7, 978-3-54-046235-4
|
| Authors |
Jean Bézivin, Bézivin, Jean |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 3% |
| Spain | 4 | 3% |
| United States | 2 | 2% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Australia | 1 | <1% |
| China | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 116 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 30% |
| Student > Master | 28 | 21% |
| Researcher | 17 | 13% |
| Student > Bachelor | 11 | 8% |
| Student > Postgraduate | 8 | 6% |
| Other | 19 | 15% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 95 | 73% |
| Engineering | 19 | 15% |
| Unspecified | 2 | 2% |
| Physics and Astronomy | 2 | 2% |
| Arts and Humanities | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 11 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 May 2016.
All research outputs
#18,455,405
of 22,867,327 outputs
Outputs from Lecture notes in computer science
#6,012
of 8,127 outputs
Outputs of similar age
#218,658
of 298,725 outputs
Outputs of similar age from Lecture notes in computer science
#144
of 215 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 298,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.