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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Industrial Adoption of Model-Driven Engineering: Are the Tools Really the Problem?
|
---|---|
Chapter number | 1 |
Book title |
Model-Driven Engineering Languages and Systems
|
Published in |
Lecture notes in computer science, January 2013
|
DOI | 10.1007/978-3-642-41533-3_1 |
Book ISBNs |
978-3-64-241532-6, 978-3-64-241533-3
|
Authors |
Jon Whittle, John Hutchinson, Mark Rouncefield, HÃ¥kan Burden, Rogardt Heldal, Håkan Burden, Whittle, Jon, Hutchinson, John, Rouncefield, Mark, Burden, Håkan, Heldal, Rogardt |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 33% |
Netherlands | 1 | 11% |
United States | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 3% |
Hungary | 1 | 1% |
United Arab Emirates | 1 | 1% |
Austria | 1 | 1% |
Brazil | 1 | 1% |
Russia | 1 | 1% |
Spain | 1 | 1% |
Croatia | 1 | 1% |
Unknown | 58 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 27% |
Student > Master | 10 | 15% |
Researcher | 8 | 12% |
Other | 5 | 7% |
Professor > Associate Professor | 5 | 7% |
Other | 13 | 19% |
Unknown | 8 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 44 | 66% |
Engineering | 7 | 10% |
Arts and Humanities | 1 | 1% |
Chemistry | 1 | 1% |
Medicine and Dentistry | 1 | 1% |
Other | 0 | 0% |
Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 April 2021.
All research outputs
#4,432,092
of 22,723,682 outputs
Outputs from Lecture notes in computer science
#1,447
of 8,126 outputs
Outputs of similar age
#47,625
of 280,763 outputs
Outputs of similar age from Lecture notes in computer science
#57
of 314 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 280,763 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 82% of its contemporaries.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.