↓ Skip to main content

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
Altmetric Badge

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
243 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
207 Dimensions

Readers on

mendeley
298 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 243 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 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 298 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 16%
Student > Ph. D. Student 36 12%
Other 35 12%
Student > Bachelor 19 6%
Student > Master 14 5%
Other 40 13%
Unknown 106 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 64 21%
Medicine and Dentistry 62 21%
Agricultural and Biological Sciences 23 8%
Engineering 11 4%
Immunology and Microbiology 6 2%
Other 19 6%
Unknown 113 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 552. 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 26 July 2023.
All research outputs
#44,468
of 25,698,912 outputs
Outputs from Science Translational Medicine
#158
of 5,472 outputs
Outputs of similar age
#833
of 357,659 outputs
Outputs of similar age from Science Translational Medicine
#3
of 116 outputs
Altmetric has tracked 25,698,912 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 5,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.8. 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 357,659 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.