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Mendeley readers
Attention Score in Context
Title |
An eight-miRNA signature as a potential biomarker for predicting survival in lung adenocarcinoma
|
---|---|
Published in |
Journal of Translational Medicine, June 2014
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DOI | 10.1186/1479-5876-12-159 |
Pubmed ID | |
Authors |
Xuelian Li, Yunrui Shi, Zhihua Yin, Xiaoxia Xue, Baosen Zhou |
Abstract |
Lung adenocarcinoma is a heterogernous disease that creates challenges for classification and management. The purpose of this study is to identify specific miRNA markers closely associated with the survival of LUAD patients from a large dataset of significantly altered miRNAs, and to assess the prognostic value of this miRNA expression profile for OS in patients with LUAD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
India | 1 | 1% |
Unknown | 75 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 25% |
Researcher | 12 | 16% |
Student > Bachelor | 10 | 13% |
Student > Master | 10 | 13% |
Student > Doctoral Student | 5 | 6% |
Other | 12 | 16% |
Unknown | 9 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 22 | 29% |
Agricultural and Biological Sciences | 22 | 29% |
Medicine and Dentistry | 15 | 19% |
Computer Science | 3 | 4% |
Nursing and Health Professions | 2 | 3% |
Other | 2 | 3% |
Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 June 2022.
All research outputs
#4,572,822
of 22,675,759 outputs
Outputs from Journal of Translational Medicine
#735
of 3,958 outputs
Outputs of similar age
#45,519
of 227,973 outputs
Outputs of similar age from Journal of Translational Medicine
#9
of 65 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 81% 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 227,973 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 79% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.