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Tumor-infiltrating B cells as a favorable prognostic biomarker in breast cancer: a systematic review and meta-analysis

Overview of attention for article published in Cancer Cell International, June 2021
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Mentioned by

twitter
1 tweeter

Citations

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5 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Tumor-infiltrating B cells as a favorable prognostic biomarker in breast cancer: a systematic review and meta-analysis
Published in
Cancer Cell International, June 2021
DOI 10.1186/s12935-021-02004-9
Pubmed ID
Authors

You Qin, Fei Peng, Lisha Ai, Shidai Mu, Yuting Li, Chensu Yang, Yu Hu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Student > Doctoral Student 3 13%
Student > Bachelor 3 13%
Professor 2 8%
Student > Master 2 8%
Student > Ph. D. Student 1 4%
Other 2 8%
Unknown 11 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 25%
Medicine and Dentistry 4 17%
Immunology and Microbiology 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unknown 10 42%

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 14 June 2021.
All research outputs
#18,984,989
of 21,339,393 outputs
Outputs from Cancer Cell International
#1,142
of 1,585 outputs
Outputs of similar age
#281,649
of 345,557 outputs
Outputs of similar age from Cancer Cell International
#1
of 1 outputs
Altmetric has tracked 21,339,393 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 1,585 research outputs from this source. They receive a mean Attention Score of 3.0. 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 345,557 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them