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A real-world clinicopathological model for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer

Overview of attention for article published in Frontiers in oncology, February 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
2 Mendeley
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Title
A real-world clinicopathological model for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer
Published in
Frontiers in oncology, February 2024
DOI 10.3389/fonc.2024.1323226
Pubmed ID
Authors

Shan Fang, Wenjie Xia, Haibo Zhang, Chao Ni, Jun Wu, Qiuping Mo, Mengjie Jiang, Dandan Guan, Hongjun Yuan, Wuzhen Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unknown 2 100%
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 15 February 2024.
All research outputs
#16,412,835
of 25,913,612 outputs
Outputs from Frontiers in oncology
#5,795
of 22,836 outputs
Outputs of similar age
#165,935
of 363,924 outputs
Outputs of similar age from Frontiers in oncology
#111
of 849 outputs
Altmetric has tracked 25,913,612 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 22,836 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 71% 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 363,924 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 849 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.