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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tell me what you Like: introducing natural language preference elicitation strategies in a virtual assistant for the movie domain
|
|---|---|
| Published in |
Journal of Intelligent Information Systems, December 2023
|
| DOI | 10.1007/s10844-023-00835-8 |
| Authors |
Cataldo Musto, Alessandro Francesco Maria Martina, Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 50% |
| Student > Ph. D. Student | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 50% |
| Economics, Econometrics and Finance | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 December 2023.
All research outputs
#15,258,213
of 24,993,752 outputs
Outputs from Journal of Intelligent Information Systems
#135
of 199 outputs
Outputs of similar age
#72,834
of 178,918 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 1 outputs
Altmetric has tracked 24,993,752 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 178,918 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 57% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them