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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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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
5 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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Professor 1 20%
Student > Bachelor 1 20%
Student > Postgraduate 1 20%
Student > Master 1 20%
Other 0 0%
Readers by discipline Count As %
Unspecified 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Linguistics 1 20%
Medicine and Dentistry 1 20%
Engineering 1 20%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 September 2023.
All research outputs
#4,293,323
of 24,493,053 outputs
Outputs from BMC Cancer
#1,003
of 8,697 outputs
Outputs of similar age
#97,057
of 405,100 outputs
Outputs of similar age from BMC Cancer
#22
of 145 outputs
Altmetric has tracked 24,493,053 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,697 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 88% of its peers.
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 405,100 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.