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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Semantic Web - ISWC 2015
|
|---|---|
| Published by |
Lecture notes in computer science, January 2015
|
| DOI | 10.1007/978-3-319-25007-6 |
| ISBNs |
978-3-31-925006-9, 978-3-31-925007-6
|
| Authors |
Bonte, Pieter, Ongenae, Femke, Schaballie, Jeroen, Arndt, D, Wauters, R, Leroux, Philip, Verborgh, Ruben, Van de Walle, Rik, Mannens, Erik, De Turck, Filip, Arndt, Dörthe |
| Editors |
Marcelo Arenas, Oscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d'Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Krishnaprasad Thirunarayan, Steffen Staab |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Belgium | 1 | 8% |
| Norway | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 95 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 9 | 9% |
| Researcher | 5 | 5% |
| Student > Doctoral Student | 2 | 2% |
| Student > Bachelor | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 60 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 29% |
| Social Sciences | 2 | 2% |
| Agricultural and Biological Sciences | 1 | 1% |
| Philosophy | 1 | 1% |
| Decision Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 62 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 11 May 2021.
All research outputs
#2,660,211
of 24,998,746 outputs
Outputs from Lecture notes in computer science
#511
of 8,155 outputs
Outputs of similar age
#36,374
of 364,470 outputs
Outputs of similar age from Lecture notes in computer science
#40
of 257 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,155 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 particularly well, scoring higher than 93% 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 364,470 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 89% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.