| Title |
A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion
|
|---|---|
| Published in |
Journal of Cloud Computing, October 2020
|
| DOI | 10.1186/s13677-020-00199-2 |
| Authors |
Liang Jiang, Lu Liu, Jingjing Yao, Leilei Shi |
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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 13% |
| Other | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Researcher | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 26 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 13% |
| Computer Science | 6 | 13% |
| Business, Management and Accounting | 2 | 4% |
| Mathematics | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 27 | 59% |
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 08 October 2020.
All research outputs
#21,075,298
of 25,837,817 outputs
Outputs from Journal of Cloud Computing
#170
of 279 outputs
Outputs of similar age
#335,918
of 437,868 outputs
Outputs of similar age from Journal of Cloud Computing
#2
of 14 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 279 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 2nd percentile – i.e., 2% 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 437,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.