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Validation of a deep neural network-based algorithm supporting clinical management of adnexal mass

Overview of attention for article published in Frontiers in Medicine, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Validation of a deep neural network-based algorithm supporting clinical management of adnexal mass
Published in
Frontiers in Medicine, January 2023
DOI 10.3389/fmed.2023.1102437
Pubmed ID
Authors

Gerard P. Reilly, Charles J. Dunton, Rowan G. Bullock, Daniel R. Ure, Herbert Fritsche, Srinka Ghosh, Todd C. Pappas, Ryan T. Phan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Unspecified 1 11%
Researcher 1 11%
Professor 1 11%
Unknown 4 44%
Readers by discipline Count As %
Arts and Humanities 1 11%
Unspecified 1 11%
Nursing and Health Professions 1 11%
Computer Science 1 11%
Physics and Astronomy 1 11%
Other 0 0%
Unknown 4 44%
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 05 October 2023.
All research outputs
#7,162,217
of 24,865,967 outputs
Outputs from Frontiers in Medicine
#1,816
of 6,874 outputs
Outputs of similar age
#132,630
of 461,010 outputs
Outputs of similar age from Frontiers in Medicine
#95
of 401 outputs
Altmetric has tracked 24,865,967 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,874 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. 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 461,010 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 70% of its contemporaries.
We're also able to compare this research output to 401 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.