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Classification of PR-positive and PR-negative subtypes in ER-positive and HER2-negative breast cancers based on pathway scores

Overview of attention for article published in BMC Medical Research Methodology, May 2021
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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24 Mendeley
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Title
Classification of PR-positive and PR-negative subtypes in ER-positive and HER2-negative breast cancers based on pathway scores
Published in
BMC Medical Research Methodology, May 2021
DOI 10.1186/s12874-021-01297-8
Pubmed ID
Authors

Taobo Hu, Yan Chen, Yiqiang Liu, Danhua Zhang, Jiankang Pan, Mengping Long

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 8%
Student > Doctoral Student 2 8%
Researcher 2 8%
Student > Ph. D. Student 1 4%
Student > Bachelor 1 4%
Other 0 0%
Unknown 16 67%
Readers by discipline Count As %
Medicine and Dentistry 6 25%
Social Sciences 1 4%
Unknown 17 71%
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 24 May 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from BMC Medical Research Methodology
#1,919
of 2,056 outputs
Outputs of similar age
#368,827
of 446,679 outputs
Outputs of similar age from BMC Medical Research Methodology
#52
of 54 outputs
Altmetric has tracked 23,308,124 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 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 446,679 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 54 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.