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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs
|
---|---|
Chapter number | 22 |
Book title |
Knowledge Engineering and Knowledge Management
|
Published in |
Lecture notes in computer science, November 2016
|
DOI | 10.1007/978-3-319-49004-5_22 |
Book ISBNs |
978-3-31-949003-8, 978-3-31-949004-5
|
Authors |
Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel, Hees, Jörn, Bauer, Rouven, Folz, Joachim, Borth, Damian, Dengel, Andreas |
Editors |
Eva Blomqvist, Paolo Ciancarini, Francesco Poggi, Fabio Vitali |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 15% |
Spain | 1 | 8% |
Canada | 1 | 8% |
Turkey | 1 | 8% |
United Kingdom | 1 | 8% |
Unknown | 7 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 77% |
Scientists | 2 | 15% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Luxembourg | 1 | 9% |
Unknown | 10 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 27% |
Student > Doctoral Student | 1 | 9% |
Other | 1 | 9% |
Student > Master | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 36% |
Mathematics | 1 | 9% |
Neuroscience | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 4 | 36% |
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 06 April 2022.
All research outputs
#3,980,743
of 24,666,614 outputs
Outputs from Lecture notes in computer science
#861
of 8,153 outputs
Outputs of similar age
#62,229
of 317,240 outputs
Outputs of similar age from Lecture notes in computer science
#37
of 370 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 89% 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 317,240 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 80% of its contemporaries.
We're also able to compare this research output to 370 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.