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Rationally derived drug combinations with the novel Mcl-1 inhibitor EU-5346 in breast cancer

Overview of attention for article published in Breast Cancer Research and Treatment, October 2018
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
3 news outlets
twitter
3 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
28 Mendeley
Title
Rationally derived drug combinations with the novel Mcl-1 inhibitor EU-5346 in breast cancer
Published in
Breast Cancer Research and Treatment, October 2018
DOI 10.1007/s10549-018-5022-5
Pubmed ID
Authors

Sonia Vallet, Fengjuan Fan, Stefano Malvestiti, Martin Pecherstorfer, Martin Sattler, Andreas Schneeweiss, Henning Schulze-Bergkamen, Joseph T. Opferman, Michael H. Cardone, Dirk Jäger, Klaus Podar

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Researcher 4 14%
Student > Bachelor 2 7%
Professor 2 7%
Student > Postgraduate 2 7%
Other 6 21%
Unknown 8 29%
Readers by discipline Count As %
Medicine and Dentistry 4 14%
Biochemistry, Genetics and Molecular Biology 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Neuroscience 2 7%
Economics, Econometrics and Finance 2 7%
Other 4 14%
Unknown 11 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 December 2018.
All research outputs
#1,898,363
of 25,837,817 outputs
Outputs from Breast Cancer Research and Treatment
#237
of 5,058 outputs
Outputs of similar age
#39,662
of 364,953 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#8
of 71 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,058 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 94% 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 364,953 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 89% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.