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Writing medical papers using large-scale language models: a perspective from the Japanese Journal of Radiology

Overview of attention for article published in Japanese Journal of Radiology, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
7 Mendeley
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Title
Writing medical papers using large-scale language models: a perspective from the Japanese Journal of Radiology
Published in
Japanese Journal of Radiology, March 2023
DOI 10.1007/s11604-023-01408-z
Pubmed ID
Authors

Takeshi Nakaura, Shinji Naganawa

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 14%
Researcher 1 14%
Other 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Arts and Humanities 1 14%
Computer Science 1 14%
Social Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
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 20 March 2023.
All research outputs
#13,815,847
of 24,452,844 outputs
Outputs from Japanese Journal of Radiology
#108
of 396 outputs
Outputs of similar age
#157,410
of 408,731 outputs
Outputs of similar age from Japanese Journal of Radiology
#6
of 16 outputs
Altmetric has tracked 24,452,844 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 396 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 72% 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 408,731 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 60% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.