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A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma

Overview of attention for article published in BMC Cancer, August 2020
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma
Published in
BMC Cancer, August 2020
DOI 10.1186/s12885-020-07235-z
Pubmed ID
Authors

Hanliang Jiang, Shan Xu, Chunhua Chen

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 67%
Student > Master 1 33%
Readers by discipline Count As %
Engineering 2 67%
Biochemistry, Genetics and Molecular Biology 1 33%

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 25 August 2020.
All research outputs
#15,054,798
of 17,036,910 outputs
Outputs from BMC Cancer
#4,884
of 6,171 outputs
Outputs of similar age
#255,120
of 305,695 outputs
Outputs of similar age from BMC Cancer
#1
of 1 outputs
Altmetric has tracked 17,036,910 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 6,171 research outputs from this source. They receive a mean Attention Score of 4.1. 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 305,695 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