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X Demographics
Mendeley readers
Attention Score in Context
| Title |
User Modeling, Adaptation, and Personalization
|
|---|---|
| Published by |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-319-08786-3 |
| ISBNs |
978-3-31-908785-6, 978-3-31-908786-3
|
| Authors |
Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, Geert-Jan Houben |
| Editors |
Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, Geert-Jan Houben |
X Demographics
The data shown below were collected from the profiles of 21 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 | 24% |
| Netherlands | 3 | 14% |
| Canada | 2 | 10% |
| Italy | 2 | 10% |
| France | 1 | 5% |
| Spain | 1 | 5% |
| Cyprus | 1 | 5% |
| Ecuador | 1 | 5% |
| Slovenia | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 2 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 48% |
| Scientists | 10 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 28% |
| Student > Master | 9 | 23% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 54% |
| Engineering | 3 | 8% |
| Social Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 8 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 22 September 2016.
All research outputs
#1,380,484
of 23,306,612 outputs
Outputs from Lecture notes in computer science
#212
of 8,162 outputs
Outputs of similar age
#16,524
of 307,969 outputs
Outputs of similar age from Lecture notes in computer science
#17
of 279 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 97% 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 307,969 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 279 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 93% of its contemporaries.