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Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinoma

Overview of attention for article published in BMC Genomics, February 2023
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2 X users

Citations

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10 Mendeley
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Title
Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinoma
Published in
BMC Genomics, February 2023
DOI 10.1186/s12864-023-09194-8
Pubmed ID
Authors

Yi Fu, Anfeng Si, Xindong Wei, Xinjie Lin, Yujie Ma, Huimin Qiu, Zhinan Guo, Yong Pan, Yiru Zhang, Xiaoni Kong, Shibo Li, Yanjun Shi, Hailong Wu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Unknown 9 90%
Readers by discipline Count As %
Unspecified 1 10%
Unknown 9 90%
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 28 February 2023.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from BMC Genomics
#8,140
of 11,249 outputs
Outputs of similar age
#299,467
of 423,030 outputs
Outputs of similar age from BMC Genomics
#104
of 142 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,249 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% 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 423,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.