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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Evaluating Citation Functions in CiTO: Cognitive Issues
|
|---|---|
| Chapter number | 39 |
| Book title |
The Semantic Web: Trends and Challenges
|
| Published in |
Lecture notes in computer science, May 2014
|
| DOI | 10.1007/978-3-319-07443-6_39 |
| Book ISBNs |
978-3-31-907442-9, 978-3-31-907443-6
|
| Authors |
Paolo Ciancarini, Angelo Di Iorio, Andrea Giovanni Nuzzolese, Silvio Peroni, Fabio Vitali, Ciancarini, Paolo, Di Iorio, Angelo, Nuzzolese, Andrea Giovanni, Peroni, Silvio, Vitali, Fabio |
| Editors |
Valentina Presutti, Claudia d’Amato, Fabien Gandon, Mathieu d’Aquin, Steffen Staab, Anna Tordai |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 31 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Researcher | 7 | 21% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Professor | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 61% |
| Materials Science | 2 | 6% |
| Psychology | 1 | 3% |
| Linguistics | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 19 July 2022.
All research outputs
#3,052,584
of 24,089,711 outputs
Outputs from Lecture notes in computer science
#613
of 8,185 outputs
Outputs of similar age
#30,221
of 230,358 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 192 outputs
Altmetric has tracked 24,089,711 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,185 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 done particularly well, scoring higher than 92% 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 230,358 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 86% of its contemporaries.
We're also able to compare this research output to 192 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.