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An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era

Overview of attention for article published in Genome Biology, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
1 news outlet
twitter
9 X users
wikipedia
4 Wikipedia pages
googleplus
2 Google+ users

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
145 Mendeley
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Title
An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era
Published in
Genome Biology, December 2014
DOI 10.1186/s13059-014-0523-y
Pubmed ID
Authors

Zhenqiang Su, Hong Fang, Huixiao Hong, Leming Shi, Wenqian Zhang, Wenwei Zhang, Yanyan Zhang, Zirui Dong, Lee J Lancashire, Marina Bessarabova, Xi Yang, Baitang Ning, Binsheng Gong, Joe Meehan, Joshua Xu, Weigong Ge, Roger Perkins, Matthias Fischer, Weida Tong

Abstract

Gene expression microarray has been the primary biomarker platform ubiquitously applied in biomedical research, resulting in enormous data, predictive models, and biomarkers accrued. Recently, RNA-seq has looked likely to replace microarrays, but there will be a period where both technologies co-exist. This raises two important questions: Can microarray-based models and biomarkers be directly applied to RNA-seq data? Can future RNA-seq-based predictive models and biomarkers be applied to microarray data to leverage past investment?

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Spain 2 1%
Chile 1 <1%
Germany 1 <1%
Denmark 1 <1%
Unknown 137 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 23%
Researcher 30 21%
Student > Master 17 12%
Student > Bachelor 11 8%
Student > Doctoral Student 7 5%
Other 18 12%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 24%
Biochemistry, Genetics and Molecular Biology 30 21%
Medicine and Dentistry 12 8%
Computer Science 12 8%
Engineering 6 4%
Other 14 10%
Unknown 36 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 04 May 2023.
All research outputs
#1,883,268
of 25,374,647 outputs
Outputs from Genome Biology
#1,570
of 4,467 outputs
Outputs of similar age
#25,021
of 368,282 outputs
Outputs of similar age from Genome Biology
#36
of 101 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 64% 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 368,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.