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Deep learning for pollen allergy surveillance from twitter in Australia

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
68 Mendeley
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Title
Deep learning for pollen allergy surveillance from twitter in Australia
Published in
BMC Medical Informatics and Decision Making, November 2019
DOI 10.1186/s12911-019-0921-x
Pubmed ID
Authors

Jia Rong, Sandra Michalska, Sudha Subramani, Jiahua Du, Hua Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Student > Master 9 13%
Researcher 8 12%
Student > Doctoral Student 6 9%
Student > Bachelor 5 7%
Other 11 16%
Unknown 16 24%
Readers by discipline Count As %
Medicine and Dentistry 11 16%
Computer Science 9 13%
Engineering 6 9%
Nursing and Health Professions 4 6%
Psychology 4 6%
Other 13 19%
Unknown 21 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 February 2024.
All research outputs
#3,406,775
of 25,400,630 outputs
Outputs from BMC Medical Informatics and Decision Making
#261
of 2,141 outputs
Outputs of similar age
#70,471
of 381,921 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 65 outputs
Altmetric has tracked 25,400,630 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,141 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 87% 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 381,921 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 81% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.