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Computational drug repositioning for the identification of new agents to sensitize drug-resistant breast tumors across treatments and receptor subtypes

Overview of attention for article published in Frontiers in oncology, June 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
6 Mendeley
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Title
Computational drug repositioning for the identification of new agents to sensitize drug-resistant breast tumors across treatments and receptor subtypes
Published in
Frontiers in oncology, June 2023
DOI 10.3389/fonc.2023.1192208
Pubmed ID
Authors

Katharine Yu, Amrita Basu, Christina Yau, Denise M. Wolf, Hani Goodarzi, Sourav Bandyopadhyay, James E. Korkola, Gillian L. Hirst, Smita Asare, Angela DeMichele, Nola Hylton, Douglas Yee, Laura Esserman, Laura van ‘t Veer, Marina Sirota

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Bachelor 1 17%
Unknown 4 67%
Readers by discipline Count As %
Unspecified 1 17%
Computer Science 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 July 2023.
All research outputs
#16,753,508
of 26,391,552 outputs
Outputs from Frontiers in oncology
#5,956
of 23,083 outputs
Outputs of similar age
#198,311
of 392,688 outputs
Outputs of similar age from Frontiers in oncology
#194
of 1,096 outputs
Altmetric has tracked 26,391,552 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,083 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 70% 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 392,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,096 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.