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Oxford University Press

Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States

Overview of attention for article published in Journal of the American Medical Informatics Association, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

policy
1 policy source
twitter
10 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
90 Mendeley
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

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Researcher 10 11%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 7 8%
Student > Bachelor 4 4%
Other 13 14%
Unknown 35 39%
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 6%
Other 12 13%
Unknown 36 40%
Attention Score in Context

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.