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Personalized circulating tumor DNA analysis to detect residual disease after neoadjuvant therapy in breast cancer

Overview of attention for article published in Science Translational Medicine, August 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
51 news outlets
blogs
2 blogs
twitter
250 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
134 Dimensions

Readers on

mendeley
262 Mendeley
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Title
Personalized circulating tumor DNA analysis to detect residual disease after neoadjuvant therapy in breast cancer
Published in
Science Translational Medicine, August 2019
DOI 10.1126/scitranslmed.aax7392
Pubmed ID
Authors

Bradon R. McDonald, Tania Contente-Cuomo, Stephen-John Sammut, Ahuva Odenheimer-Bergman, Brenda Ernst, Nieves Perdigones, Suet-Feung Chin, Maria Farooq, Rosa Mejia, Patricia A. Cronin, Karen S. Anderson, Heidi E. Kosiorek, Donald W. Northfelt, Ann E. McCullough, Bhavika K. Patel, Jeffrey N. Weitzel, Thomas P. Slavin, Carlos Caldas, Barbara A. Pockaj, Muhammed Murtaza

Twitter Demographics

The data shown below were collected from the profiles of 250 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 262 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 18%
Student > Ph. D. Student 36 14%
Other 32 12%
Student > Bachelor 18 7%
Student > Master 15 6%
Other 38 15%
Unknown 76 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 64 24%
Medicine and Dentistry 56 21%
Agricultural and Biological Sciences 22 8%
Engineering 12 5%
Computer Science 5 2%
Other 20 8%
Unknown 83 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 548. 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 13 September 2021.
All research outputs
#35,052
of 22,611,748 outputs
Outputs from Science Translational Medicine
#141
of 5,082 outputs
Outputs of similar age
#653
of 285,701 outputs
Outputs of similar age from Science Translational Medicine
#4
of 116 outputs
Altmetric has tracked 22,611,748 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,082 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 80.9. 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 285,701 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 99% of its contemporaries.
We're also able to compare this research output to 116 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 97% of its contemporaries.