| Title |
Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media
|
|---|---|
| Published in |
Journal of Big Data, July 2021
|
| DOI | 10.1186/s40537-021-00488-w |
| Pubmed ID | |
| Authors |
Yahya Albalawi, Jim Buckley, Nikola S. Nikolov |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| Saudi Arabia | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 11% |
| Student > Ph. D. Student | 8 | 11% |
| Lecturer | 5 | 7% |
| Researcher | 4 | 5% |
| Other | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 35 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 39% |
| Engineering | 4 | 5% |
| Arts and Humanities | 1 | 1% |
| Agricultural and Biological Sciences | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 36 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 May 2022.
All research outputs
#7,348,066
of 22,770,070 outputs
Outputs from Journal of Big Data
#120
of 335 outputs
Outputs of similar age
#155,591
of 438,189 outputs
Outputs of similar age from Journal of Big Data
#5
of 14 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 64% 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 438,189 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 64% of its contemporaries.
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 has gotten more attention than average, scoring higher than 64% of its contemporaries.