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A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer

Overview of attention for article published in Cancer Convergence, December 2017
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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 (86th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
facebook
2 Facebook pages

Readers on

mendeley
76 Mendeley
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Title
A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer
Published in
Cancer Convergence, December 2017
DOI 10.1186/s41236-017-0007-6
Pubmed ID
Authors

Jorge Gómez Tejeda Zañudo, Maurizio Scaltriti, Réka Albert

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Student > Master 10 13%
Student > Bachelor 10 13%
Researcher 7 9%
Student > Doctoral Student 6 8%
Other 11 14%
Unknown 13 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Agricultural and Biological Sciences 16 21%
Engineering 5 7%
Mathematics 4 5%
Medicine and Dentistry 4 5%
Other 16 21%
Unknown 14 18%
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 14 December 2022.
All research outputs
#2,476,695
of 23,341,064 outputs
Outputs from Cancer Convergence
#1
of 7 outputs
Outputs of similar age
#58,360
of 443,636 outputs
Outputs of similar age from Cancer Convergence
#1
of 3 outputs
Altmetric has tracked 23,341,064 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 7 research outputs from this source. They receive a mean Attention Score of 4.7. This one scored the same or higher as 6 of them.
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 443,636 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 86% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them