| Title |
Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study
|
|---|---|
| Published in |
Journal of Medical Internet Research, February 2023
|
| DOI | 10.2196/42985 |
| Pubmed ID | |
| Authors |
Yongtai Liu, Zhijun Yin, Congning Ni, Chao Yan, Zhiyu Wan, Bradley Malin |
X Demographics
The data shown below were collected from the profiles of 11 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 | 6 | 55% |
| Canada | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 2 | 12% |
| Student > Master | 2 | 12% |
| Student > Ph. D. Student | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Computer Science | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Sports and Recreations | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 11 April 2023.
All research outputs
#1,925,327
of 25,394,764 outputs
Outputs from Journal of Medical Internet Research
#1,597
of 7,870 outputs
Outputs of similar age
#42,811
of 499,698 outputs
Outputs of similar age from Journal of Medical Internet Research
#24
of 221 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has done well, scoring higher than 79% 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 499,698 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.