| Title |
Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis
|
|---|---|
| Published in |
JMIR Infodemiology, February 2022
|
| DOI | 10.2196/32372 |
| Pubmed ID | |
| Authors |
Eden Engel-Rebitzer, Daniel C Stokes, Zachary F Meisel, Jonathan Purtle, Rebecca Doyle, Alison M Buttenheim |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| France | 1 | 11% |
| Japan | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Lecturer | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 23% |
| Unspecified | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 December 2022.
All research outputs
#2,096,761
of 23,335,153 outputs
Outputs from JMIR Infodemiology
#14
of 90 outputs
Outputs of similar age
#50,153
of 439,887 outputs
Outputs of similar age from JMIR Infodemiology
#4
of 14 outputs
Altmetric has tracked 23,335,153 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 90 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 84% 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 439,887 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 88% 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 71% of its contemporaries.