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Science Translational Medicine

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
52 news outlets
blogs
3 blogs
twitter
252 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
280 Mendeley
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 252 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 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 280 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 16%
Student > Ph. D. Student 36 13%
Other 34 12%
Student > Bachelor 19 7%
Student > Master 14 5%
Other 48 17%
Unknown 83 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 23%
Medicine and Dentistry 58 21%
Agricultural and Biological Sciences 23 8%
Engineering 12 4%
Unspecified 10 4%
Other 24 9%
Unknown 88 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 562. 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 April 2023.
All research outputs
#37,531
of 23,804,991 outputs
Outputs from Science Translational Medicine
#143
of 5,206 outputs
Outputs of similar age
#760
of 346,905 outputs
Outputs of similar age from Science Translational Medicine
#4
of 116 outputs
Altmetric has tracked 23,804,991 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 5,206 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 83.8. 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 346,905 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.