| Title |
Personal stories matter: topic evolution and popularity among pro- and anti-vaccine online articles
|
|---|---|
| Published in |
Journal of Computational Social Science, April 2019
|
| DOI | 10.1007/s42001-019-00044-w |
| Authors |
Zhan Xu |
X Demographics
The data shown below were collected from the profiles of 36 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 | 12 | 33% |
| Australia | 3 | 8% |
| United Kingdom | 3 | 8% |
| Malta | 1 | 3% |
| Jordan | 1 | 3% |
| Netherlands | 1 | 3% |
| Luxembourg | 1 | 3% |
| Pakistan | 1 | 3% |
| France | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 47% |
| Scientists | 14 | 39% |
| Practitioners (doctors, other healthcare professionals) | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Student > Bachelor | 5 | 12% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 4 | 10% |
| Researcher | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 11 | 26% |
| Psychology | 6 | 14% |
| Computer Science | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 15 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 May 2023.
All research outputs
#1,825,698
of 25,793,330 outputs
Outputs from Journal of Computational Social Science
#28
of 152 outputs
Outputs of similar age
#40,235
of 367,702 outputs
Outputs of similar age from Journal of Computational Social Science
#1
of 3 outputs
Altmetric has tracked 25,793,330 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 152 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done well, scoring higher than 81% 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 367,702 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 89% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them