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Whole-Transcriptome profiling of formalin-fixed, paraffin-embedded renal cell carcinoma by RNA-seq

Overview of attention for article published in BMC Genomics, December 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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6 X users
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1 Facebook page

Citations

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61 Dimensions

Readers on

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102 Mendeley
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Title
Whole-Transcriptome profiling of formalin-fixed, paraffin-embedded renal cell carcinoma by RNA-seq
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1087
Pubmed ID
Authors

Ping Li, Andrew Conley, Hao Zhang, Hyung L Kim

Abstract

Formalin-fixed paraffin-embedded (FFPE) tissue samples are routinely archived in the course of patient care and can be linked to clinical outcomes with long-term follow-up. However, FFPE tissues have degraded RNA which poses challenges for analyzing gene expression. Next-generation sequencing (NGS) is rapidly becoming accepted as an effective tool for measuring gene expressions for research and clinical use. However, the feasibility of NGS has not been firmly established when using FFPE tissue.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Germany 1 <1%
United States 1 <1%
Unknown 98 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 21%
Researcher 19 19%
Other 10 10%
Student > Master 10 10%
Student > Doctoral Student 7 7%
Other 21 21%
Unknown 14 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 26%
Agricultural and Biological Sciences 20 20%
Medicine and Dentistry 14 14%
Neuroscience 4 4%
Immunology and Microbiology 3 3%
Other 15 15%
Unknown 19 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 December 2014.
All research outputs
#12,615,710
of 22,774,233 outputs
Outputs from BMC Genomics
#4,340
of 10,642 outputs
Outputs of similar age
#164,922
of 361,188 outputs
Outputs of similar age from BMC Genomics
#91
of 241 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 361,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 241 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 61% of its contemporaries.