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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems
|
|---|---|
| Chapter number | 3 |
| Book title |
Case-Based Reasoning Research and Development
|
| Published in |
Lecture notes in computer science, June 2017
|
| DOI | 10.1007/978-3-319-61030-6_3 |
| Book ISBNs |
978-3-31-961029-0, 978-3-31-961030-6
|
| Authors |
Gharbi Alshammari, Jose L. Jorro-Aragoneses, Stelios Kapetanakis, Miltos Petridis, Juan A. Recio-García, Belén Díaz-Agudo |
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 % |
|---|---|---|
| Unknown | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Lecturer | 3 | 19% |
| Student > Doctoral Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 44% |
| Business, Management and Accounting | 1 | 6% |
| Earth and Planetary Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 June 2017.
All research outputs
#17,876,978
of 22,981,247 outputs
Outputs from Lecture notes in computer science
#5,931
of 8,145 outputs
Outputs of similar age
#226,537
of 316,843 outputs
Outputs of similar age from Lecture notes in computer science
#104
of 153 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 26th percentile – i.e., 26% 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 316,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.