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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Semantic Web: Research and Applications
|
|---|---|
| Published by |
Lecture notes in computer science, January 2009
|
| DOI | 10.1007/978-3-642-02121-3 |
| ISBNs |
978-3-64-202120-6, 978-3-64-202121-3
|
| Authors |
Lora Aroyo, Paolo Traverso, Fabio Ciravegna, Philipp Cimiano, Tom Heath, Eero Hyvönen, Riichiro Mizoguchi, Eyal Oren, Marta Sabou, Elena Simperl |
| Editors |
Aroyo, Lora, Traverso, Paolo, Ciravegna, Fabio, Cimiano, Philipp, Heath, Tom, Hyvönen, Eero, Mizoguchi, Riichiro, Oren, Eyal, Sabou, Marta, Simperl, Elena |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 6% |
| United Kingdom | 2 | 4% |
| Switzerland | 2 | 4% |
| Portugal | 1 | 2% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| Italy | 1 | 2% |
| Brazil | 1 | 2% |
| Luxembourg | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 37 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Researcher | 9 | 18% |
| Student > Master | 9 | 18% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 40 | 78% |
| Unspecified | 5 | 10% |
| Social Sciences | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Medicine and Dentistry | 1 | 2% |
| Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 16 October 2021.
All research outputs
#2,258,175
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#377
of 8,225 outputs
Outputs of similar age
#9,778
of 189,349 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 176 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 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,225 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 95% 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 189,349 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 94% of its contemporaries.
We're also able to compare this research output to 176 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 97% of its contemporaries.