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Construction of a MicroRNA-Based Nomogram for Prediction of Lung Metastasis in Breast Cancer Patients

Overview of attention for article published in Frontiers in Genetics, February 2021
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2 X users

Citations

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25 Mendeley
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Title
Construction of a MicroRNA-Based Nomogram for Prediction of Lung Metastasis in Breast Cancer Patients
Published in
Frontiers in Genetics, February 2021
DOI 10.3389/fgene.2020.580138
Pubmed ID
Authors

Leyi Zhang, Jun Pan, Zhen Wang, Chenghui Yang, Jian Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 8%
Researcher 2 8%
Student > Bachelor 1 4%
Other 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 17 68%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 12%
Unspecified 2 8%
Agricultural and Biological Sciences 1 4%
Immunology and Microbiology 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 16 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 10 March 2021.
All research outputs
#18,791,778
of 23,287,285 outputs
Outputs from Frontiers in Genetics
#7,279
of 12,300 outputs
Outputs of similar age
#317,127
of 418,792 outputs
Outputs of similar age from Frontiers in Genetics
#349
of 547 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,300 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 418,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 547 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.