↓ Skip to main content

RadTex: Learning Efficient Radiograph Representations from Text Reports

Overview of attention for article published in arXiv, January 2022
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
RadTex: Learning Efficient Radiograph Representations from Text Reports
Published in
arXiv, January 2022
DOI 10.1007/978-3-031-16876-5_3
Authors

Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth Berkowitz, Polina Golland

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 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%
Researcher 1 20%
Unknown 3 60%
Readers by discipline Count As %
Computer Science 2 40%
Medicine and Dentistry 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 April 2023.
All research outputs
#7,758,831
of 24,093,053 outputs
Outputs from arXiv
#168,062
of 1,020,419 outputs
Outputs of similar age
#170,014
of 505,056 outputs
Outputs of similar age from arXiv
#5,610
of 33,153 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 82% 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 505,056 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 65% of its contemporaries.
We're also able to compare this research output to 33,153 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.