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Medical terminology-based computing system: a lightweight post-processing solution for out-of-vocabulary multi-word terms

Overview of attention for article published in Frontiers in Molecular Biosciences, August 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Medical terminology-based computing system: a lightweight post-processing solution for out-of-vocabulary multi-word terms
Published in
Frontiers in Molecular Biosciences, August 2022
DOI 10.3389/fmolb.2022.928530
Pubmed ID
Authors

Nadia Saeed, Hammad Naveed

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Business, Management and Accounting 1 20%
Computer Science 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 August 2022.
All research outputs
#14,478,822
of 23,202,641 outputs
Outputs from Frontiers in Molecular Biosciences
#1,172
of 3,964 outputs
Outputs of similar age
#201,207
of 433,558 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#89
of 405 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,964 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 66% 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 433,558 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 50% of its contemporaries.
We're also able to compare this research output to 405 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 72% of its contemporaries.