Title |
Towards reproducibility in recommender-systems research
|
---|---|
Published in |
User Modeling and User-Adapted Interaction, March 2016
|
DOI | 10.1007/s11257-016-9174-x |
URN |
urn:nbn:de:bsz:352-0-324818
|
Authors |
Joeran Beel, Corinna Breitinger, Stefan Langer, Andreas Lommatzsch, Bela Gipp |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 3% |
Portugal | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Spain | 1 | <1% |
Japan | 1 | <1% |
Unknown | 109 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 23% |
Student > Master | 25 | 21% |
Researcher | 11 | 9% |
Student > Bachelor | 11 | 9% |
Student > Doctoral Student | 9 | 8% |
Other | 14 | 12% |
Unknown | 20 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 67 | 57% |
Business, Management and Accounting | 10 | 9% |
Engineering | 3 | 3% |
Social Sciences | 3 | 3% |
Medicine and Dentistry | 2 | 2% |
Other | 6 | 5% |
Unknown | 26 | 22% |
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 13 May 2022.
All research outputs
#4,268,651
of 26,017,215 outputs
Outputs from User Modeling and User-Adapted Interaction
#31
of 221 outputs
Outputs of similar age
#61,618
of 319,165 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#2
of 7 outputs
Altmetric has tracked 26,017,215 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 221 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 84% 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 319,165 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 80% 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 5 of them.