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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel adaptable approach for sentiment analysis on big social data
|
|---|---|
| Published in |
Journal of Big Data, March 2018
|
| DOI | 10.1186/s40537-018-0120-0 |
| Authors |
Imane El Alaoui, Youssef Gahi, Rochdi Messoussi, Youness Chaabi, Alexis Todoskoff, Abdessamad Kobi |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 184 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 15% |
| Student > Ph. D. Student | 24 | 13% |
| Student > Bachelor | 17 | 9% |
| Researcher | 16 | 9% |
| Student > Doctoral Student | 12 | 7% |
| Other | 21 | 11% |
| Unknown | 66 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 72 | 39% |
| Engineering | 15 | 8% |
| Business, Management and Accounting | 9 | 5% |
| Social Sciences | 4 | 2% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 10 | 5% |
| Unknown | 70 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 March 2021.
All research outputs
#3,145,397
of 23,026,672 outputs
Outputs from Journal of Big Data
#60
of 339 outputs
Outputs of similar age
#67,037
of 332,626 outputs
Outputs of similar age from Journal of Big Data
#4
of 11 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 82% 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 332,626 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 79% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.