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Science Translational Medicine

Article Metrics

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
32 news outlets
blogs
2 blogs
twitter
264 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
90 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 264 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 16%
Researcher 14 16%
Student > Master 11 12%
Other 11 12%
Student > Bachelor 8 9%
Other 14 16%
Unknown 18 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 22%
Medicine and Dentistry 18 20%
Agricultural and Biological Sciences 12 13%
Engineering 6 7%
Unspecified 5 6%
Other 9 10%
Unknown 20 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 429. 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 17 January 2020.
All research outputs
#24,255
of 14,155,113 outputs
Outputs from Science Translational Medicine
#122
of 3,935 outputs
Outputs of similar age
#743
of 253,590 outputs
Outputs of similar age from Science Translational Medicine
#3
of 116 outputs
Altmetric has tracked 14,155,113 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 3,935 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.2. This one has done particularly well, scoring higher than 96% 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 253,590 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.