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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Assessing and Refining Mappingsto RDF to Improve Dataset Quality
|
|---|---|
| Chapter number | 8 |
| Book title |
The Semantic Web - ISWC 2015
|
| Published in |
Lecture notes in computer science, October 2015
|
| DOI | 10.1007/978-3-319-25010-6_8 |
| Book ISBNs |
978-3-31-925009-0, 978-3-31-925010-6
|
| Authors |
Dimou, Anastasia, Kontokostas, Dimitris, Freudenberg, Markus, Verborgh, Ruben, Lehmann, Jens, Mannens, Erik, Hellmann, Sebastian, Van de Walle, Rik, Kontokostas, Dimitirs, Anastasia Dimou, Dimitris Kontokostas, Markus Freudenberg, Ruben Verborgh, Jens Lehmann, Erik Mannens, Sebastian Hellmann, Rik Van de Walle |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| Belgium | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Poland | 1 | 2% |
| Germany | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 58 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 32% |
| Student > Master | 12 | 19% |
| Researcher | 10 | 16% |
| Lecturer | 3 | 5% |
| Other | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 49 | 79% |
| Engineering | 3 | 5% |
| Unspecified | 1 | 2% |
| Unknown | 9 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 September 2022.
All research outputs
#7,040,223
of 23,330,477 outputs
Outputs from Lecture notes in computer science
#2,249
of 8,158 outputs
Outputs of similar age
#87,366
of 285,011 outputs
Outputs of similar age from Lecture notes in computer science
#70
of 176 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 72% 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 285,011 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% 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 gotten more attention than average, scoring higher than 60% of its contemporaries.