| Title |
Alleviating the new user problem in collaborative filtering by exploiting personality information
|
|---|---|
| Published in |
User Modeling and User-Adapted Interaction, February 2016
|
| DOI | 10.1007/s11257-016-9172-z |
| Authors |
Ignacio Fernández-Tobías, Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Iván Cantador |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 40% |
| Germany | 1 | 20% |
| Estonia | 1 | 20% |
| Slovenia | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 170 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 19% |
| Student > Master | 30 | 17% |
| Student > Bachelor | 14 | 8% |
| Researcher | 10 | 6% |
| Student > Doctoral Student | 9 | 5% |
| Other | 34 | 19% |
| Unknown | 45 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 89 | 51% |
| Engineering | 11 | 6% |
| Social Sciences | 6 | 3% |
| Business, Management and Accounting | 3 | 2% |
| Medicine and Dentistry | 2 | 1% |
| Other | 13 | 7% |
| Unknown | 51 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 June 2018.
All research outputs
#4,033,184
of 23,911,072 outputs
Outputs from User Modeling and User-Adapted Interaction
#31
of 191 outputs
Outputs of similar age
#69,339
of 404,064 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#3
of 7 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 83% 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 404,064 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 82% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.