| Title |
Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data
|
|---|---|
| Published in |
Journal of Big Data, December 2021
|
| DOI | 10.1186/s40537-021-00550-7 |
| Pubmed ID | |
| Authors |
Amirita Dewani, Mohsin Ali Memon, Sania Bhatti |
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 % |
|---|---|---|
| United States | 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 15% |
| Student > Bachelor | 6 | 5% |
| Researcher | 5 | 4% |
| Other | 4 | 3% |
| Student > Postgraduate | 4 | 3% |
| Other | 19 | 16% |
| Unknown | 63 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 32% |
| Social Sciences | 4 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Arts and Humanities | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 63 | 53% |
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 02 March 2022.
All research outputs
#20,648,640
of 23,243,271 outputs
Outputs from Journal of Big Data
#332
of 349 outputs
Outputs of similar age
#413,270
of 505,590 outputs
Outputs of similar age from Journal of Big Data
#8
of 11 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 349 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 1st percentile – i.e., 1% 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 505,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.