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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Adaptive Linked Data-Driven Web Components: Building Flexible and Reusable Semantic Web Interfaces
|
|---|---|
| Chapter number | 41 |
| Book title |
The Semantic Web. Latest Advances and New Domains
|
| Published in |
Lecture notes in computer science, May 2016
|
| DOI | 10.1007/978-3-319-34129-3_41 |
| Book ISBNs |
978-3-31-934128-6, 978-3-31-934129-3
|
| Authors |
Ali Khalili, Antonis Loizou, Frank van Harmelen |
| Editors |
Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone Paolo Ponzetto, Christoph Lange |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 47 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 22% |
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 6 | 12% |
| Student > Doctoral Student | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 67% |
| Engineering | 5 | 10% |
| Social Sciences | 2 | 4% |
| Economics, Econometrics and Finance | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 6 | 12% |
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 23 May 2016.
All research outputs
#15,374,585
of 22,873,031 outputs
Outputs from Lecture notes in computer science
#4,647
of 8,127 outputs
Outputs of similar age
#191,081
of 313,738 outputs
Outputs of similar age from Lecture notes in computer science
#145
of 288 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 27th percentile – i.e., 27% 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 313,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.