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The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language…

Overview of attention for article published in Frontiers in Digital Health, December 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Readers on

mendeley
24 Mendeley
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Title
The Food and Drug Administration Biologics Effectiveness and Safety Initiative Facilitates Detection of Vaccine Administrations From Unstructured Data in Medical Records Through Natural Language Processing
Published in
Frontiers in Digital Health, December 2021
DOI 10.3389/fdgth.2021.777905
Pubmed ID
Authors

Matthew Deady, Hussein Ezzeldin, Kerry Cook, Douglas Billings, Jeno Pizarro, Amalia A. Plotogea, Patrick Saunders-Hastings, Artur Belov, Barbee I. Whitaker, Steven A. Anderson

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 21%
Other 2 8%
Student > Master 2 8%
Student > Bachelor 1 4%
Student > Ph. D. Student 1 4%
Other 1 4%
Unknown 12 50%
Readers by discipline Count As %
Unspecified 5 21%
Medicine and Dentistry 2 8%
Arts and Humanities 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Nursing and Health Professions 1 4%
Other 3 13%
Unknown 11 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 January 2022.
All research outputs
#12,855,187
of 22,994,508 outputs
Outputs from Frontiers in Digital Health
#283
of 555 outputs
Outputs of similar age
#186,800
of 500,902 outputs
Outputs of similar age from Frontiers in Digital Health
#33
of 60 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 500,902 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 62% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.