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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Semantic Web – ISWC 2014
|
|---|---|
| Published by |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-319-11964-9 |
| ISBNs |
978-3-31-911963-2, 978-3-31-911964-9
|
| Authors |
Peter Mika, Tania Tudorache, Abraham Bernstein, Chris Welty, Craig Knoblock, Denny Vrandečić, Paul Groth, Natasha Noy, Krzysztof Janowicz, Carole Goble |
| Editors |
Mika, Peter, Tudorache, Tania, Bernstein, Abraham, Welty, Chris, Knoblock, Craig, Vrandečić, Denny, Groth, Paul, Noy, Natasha, Janowicz, Krzysztof, Goble, Carole |
X Demographics
The data shown below were collected from the profiles of 23 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 Kingdom | 5 | 22% |
| United States | 4 | 17% |
| Belgium | 1 | 4% |
| Japan | 1 | 4% |
| New Zealand | 1 | 4% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 70% |
| Scientists | 7 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 8% |
| Student > Master | 12 | 8% |
| Researcher | 4 | 3% |
| Student > Bachelor | 3 | 2% |
| Student > Postgraduate | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 98 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 34 | 24% |
| Engineering | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | <1% |
| Immunology and Microbiology | 1 | <1% |
| Agricultural and Biological Sciences | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 98 | 69% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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
#996,661
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#110
of 8,229 outputs
Outputs of similar age
#10,534
of 324,982 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 286 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 98% 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 324,982 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 286 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 96% of its contemporaries.