↓ Skip to main content

Technical validation of an RT-qPCR in vitro diagnostic test system for the determination of breast cancer molecular subtypes by quantification of ERBB2, ESR1, PGR and MKI67 mRNA levels from formalin-fi…

Overview of attention for article published in BMC Cancer, July 2016
Altmetric Badge

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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
twitter
1 X user
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
74 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Technical validation of an RT-qPCR in vitro diagnostic test system for the determination of breast cancer molecular subtypes by quantification of ERBB2, ESR1, PGR and MKI67 mRNA levels from formalin-fixed paraffin-embedded breast tumor specimens
Published in
BMC Cancer, July 2016
DOI 10.1186/s12885-016-2476-x
Pubmed ID
Authors

Mark Laible, Kornelia Schlombs, Katharina Kaiser, Elke Veltrup, Stefanie Herlein, Sotiris Lakis, Robert Stöhr, Sebastian Eidt, Arndt Hartmann, Ralph M. Wirtz, Ugur Sahin

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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 1%
Uruguay 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 14%
Other 8 11%
Student > Bachelor 8 11%
Student > Doctoral Student 6 8%
Lecturer 6 8%
Other 20 27%
Unknown 16 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 19%
Medicine and Dentistry 11 15%
Nursing and Health Professions 5 7%
Agricultural and Biological Sciences 5 7%
Computer Science 4 5%
Other 12 16%
Unknown 23 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 14 May 2020.
All research outputs
#1,681,529
of 25,998,826 outputs
Outputs from BMC Cancer
#248
of 9,126 outputs
Outputs of similar age
#30,345
of 377,376 outputs
Outputs of similar age from BMC Cancer
#8
of 246 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,126 research outputs from this source. They receive a mean Attention Score of 4.8. 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 377,376 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 91% of its contemporaries.
We're also able to compare this research output to 246 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 96% of its contemporaries.