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Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

Overview of attention for article published in Frontiers in Public Health, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
41 Mendeley
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Title
Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing
Published in
Frontiers in Public Health, May 2022
DOI 10.3389/fpubh.2022.850619
Pubmed ID
Authors

Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi, Danielle L. Mowery

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 12%
Student > Bachelor 3 7%
Unspecified 2 5%
Professor > Associate Professor 2 5%
Student > Ph. D. Student 2 5%
Other 5 12%
Unknown 22 54%
Readers by discipline Count As %
Unspecified 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Mathematics 2 5%
Agricultural and Biological Sciences 2 5%
Psychology 2 5%
Other 9 22%
Unknown 22 54%
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 May 2022.
All research outputs
#13,351,367
of 23,860,205 outputs
Outputs from Frontiers in Public Health
#2,975
of 11,553 outputs
Outputs of similar age
#169,115
of 444,845 outputs
Outputs of similar age from Frontiers in Public Health
#209
of 1,129 outputs
Altmetric has tracked 23,860,205 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 11,553 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 73% 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 444,845 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 61% of its contemporaries.
We're also able to compare this research output to 1,129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.