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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 (98th percentile)

Mentioned by

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

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
248 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 256 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 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 248 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 19%
Student > Ph. D. Student 35 14%
Other 31 13%
Student > Bachelor 18 7%
Student > Master 14 6%
Other 35 14%
Unknown 68 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 25%
Medicine and Dentistry 53 21%
Agricultural and Biological Sciences 21 8%
Engineering 12 5%
Computer Science 5 2%
Other 19 8%
Unknown 75 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 551. 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
#30,051
of 20,978,967 outputs
Outputs from Science Translational Medicine
#126
of 4,886 outputs
Outputs of similar age
#616
of 281,430 outputs
Outputs of similar age from Science Translational Medicine
#3
of 116 outputs
Altmetric has tracked 20,978,967 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 4,886 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 76.2. 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 281,430 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 98% of its contemporaries.