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Deep learning enabled multi-organ segmentation of mouse embryos

Overview of attention for article published in Biology Open, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
38 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Deep learning enabled multi-organ segmentation of mouse embryos
Published in
Biology Open, February 2023
DOI 10.1242/bio.059698
Authors

S. M. Rolfe, S. M. Whikehart, A. M. Maga

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 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 %
Professor 1 11%
Student > Ph. D. Student 1 11%
Student > Bachelor 1 11%
Researcher 1 11%
Unknown 5 56%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 6 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 21 March 2023.
All research outputs
#1,531,160
of 24,620,470 outputs
Outputs from Biology Open
#51
of 1,713 outputs
Outputs of similar age
#31,059
of 411,638 outputs
Outputs of similar age from Biology Open
#3
of 32 outputs
Altmetric has tracked 24,620,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,713 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 411,638 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.