| Title |
Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States
|
|---|---|
| Published in |
Journal of the American Medical Informatics Association, November 2019
|
| DOI | 10.1093/jamia/ocz191 |
| Pubmed ID | |
| Authors |
Hansi Zhang, Christopher Wheldon, Adam G Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian |
X Demographics
The data shown below were collected from the profiles of 10 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 | 5 | 50% |
| Spain | 1 | 10% |
| Greece | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 5 | 50% |
| Members of the public | 3 | 30% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 15% |
| Researcher | 10 | 11% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Doctoral Student | 7 | 8% |
| Student > Bachelor | 4 | 4% |
| Other | 15 | 16% |
| Unknown | 35 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 11 | 12% |
| Computer Science | 9 | 10% |
| Medicine and Dentistry | 9 | 10% |
| Social Sciences | 8 | 9% |
| Business, Management and Accounting | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 36 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 01 February 2020.
All research outputs
#4,194,673
of 25,387,668 outputs
Outputs from Journal of the American Medical Informatics Association
#1,126
of 3,303 outputs
Outputs of similar age
#79,778
of 375,144 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#21
of 48 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 65% 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 375,144 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 78% of its contemporaries.
We're also able to compare this research output to 48 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 56% of its contemporaries.