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A Qualitative Transcriptional Signature for Predicting Extreme Resistance of ER-Negative Breast Cancer to Paclitaxel, Doxorubicin, and Cyclophosphamide Neoadjuvant Chemotherapy

Overview of attention for article published in Frontiers in Molecular Biosciences, March 2020
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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14 Mendeley
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Title
A Qualitative Transcriptional Signature for Predicting Extreme Resistance of ER-Negative Breast Cancer to Paclitaxel, Doxorubicin, and Cyclophosphamide Neoadjuvant Chemotherapy
Published in
Frontiers in Molecular Biosciences, March 2020
DOI 10.3389/fmolb.2020.00034
Pubmed ID
Authors

Yanhua Chen, Hao Cai, Wannan Chen, Qingzhou Guan, Jun He, Zheng Guo, Jing Li

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Computer Science 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Nursing and Health Professions 1 7%
Engineering 1 7%
Unknown 9 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 March 2020.
All research outputs
#20,610,517
of 23,199,478 outputs
Outputs from Frontiers in Molecular Biosciences
#2,626
of 3,964 outputs
Outputs of similar age
#314,356
of 368,428 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#34
of 64 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,964 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 368,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.