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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
33 news outlets
blogs
2 blogs
twitter
258 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
144 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 258 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 19%
Student > Ph. D. Student 23 16%
Other 15 10%
Student > Master 12 8%
Student > Bachelor 11 8%
Other 22 15%
Unknown 34 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 28%
Medicine and Dentistry 29 20%
Agricultural and Biological Sciences 13 9%
Engineering 7 5%
Immunology and Microbiology 4 3%
Other 11 8%
Unknown 40 28%

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 02 October 2020.
All research outputs
#31,421
of 16,064,848 outputs
Outputs from Science Translational Medicine
#139
of 4,303 outputs
Outputs of similar age
#802
of 264,385 outputs
Outputs of similar age from Science Translational Medicine
#3
of 116 outputs
Altmetric has tracked 16,064,848 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 4,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. 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 264,385 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.