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Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer

Overview of attention for article published in Frontiers in Molecular Biosciences, March 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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3 X users

Citations

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36 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer
Published in
Frontiers in Molecular Biosciences, March 2021
DOI 10.3389/fmolb.2021.622219
Pubmed ID
Authors

Ming Fan, Hang Chen, Chao You, Li Liu, Yajia Gu, Weijun Peng, Xin Gao, Lihua Li

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 3 12%
Researcher 3 12%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 9 35%
Readers by discipline Count As %
Medicine and Dentistry 8 31%
Engineering 4 15%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Unknown 12 46%
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 19 April 2021.
All research outputs
#14,545,040
of 23,292,144 outputs
Outputs from Frontiers in Molecular Biosciences
#1,176
of 3,993 outputs
Outputs of similar age
#229,017
of 427,846 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#97
of 303 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,993 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 66% 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 427,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.