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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 (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
38 Mendeley

What is this page?

Summary Twitter Dimensions citations
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
31711186
Authors

Hansi Zhang, Christopher Wheldon, Adam G Dunn, Cui Tao, Jinhai Huo, Rui Zhang, Mattia Prosperi, Yi Guo, Jiang Bian

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Doctoral Student 5 13%
Student > Master 4 11%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Other 7 18%
Unknown 9 24%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Nursing and Health Professions 5 13%
Social Sciences 5 13%
Business, Management and Accounting 3 8%
Computer Science 3 8%
Other 7 18%
Unknown 8 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 January 2020.
All research outputs
#2,824,902
of 16,254,129 outputs
Outputs from Journal of the American Medical Informatics Association
#855
of 2,502 outputs
Outputs of similar age
#83,120
of 327,595 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#39
of 88 outputs
Altmetric has tracked 16,254,129 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. 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 327,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 88 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 54% of its contemporaries.

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