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Targeted deep sequencing revealed variants in cell-free DNA of hormone receptor-positive metastatic breast cancer patients

Overview of attention for article published in Cellular and Molecular Life Sciences, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
patent
3 patents

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
46 Mendeley
Title
Targeted deep sequencing revealed variants in cell-free DNA of hormone receptor-positive metastatic breast cancer patients
Published in
Cellular and Molecular Life Sciences, June 2019
DOI 10.1007/s00018-019-03189-z
Pubmed ID
Authors

Corinna Keup, Karim Benyaa, Siegfried Hauch, Markus Sprenger-Haussels, Mitra Tewes, Pawel Mach, Ann-Kathrin Bittner, Rainer Kimmig, Peter Hahn, Sabine Kasimir-Bauer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 5 11%
Other 4 9%
Student > Bachelor 4 9%
Student > Master 3 7%
Other 7 15%
Unknown 14 30%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Biochemistry, Genetics and Molecular Biology 9 20%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 20 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 October 2022.
All research outputs
#2,545,813
of 24,631,014 outputs
Outputs from Cellular and Molecular Life Sciences
#347
of 5,623 outputs
Outputs of similar age
#52,653
of 355,527 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#6
of 94 outputs
Altmetric has tracked 24,631,014 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,623 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 93% 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 355,527 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 94 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 94% of its contemporaries.