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Unbiased RNA-Seq-driven identification and validation of reference genes for quantitative RT-PCR analyses of pooled cancer exosomes

Overview of attention for article published in BMC Genomics, January 2021
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Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

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39 Mendeley
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Title
Unbiased RNA-Seq-driven identification and validation of reference genes for quantitative RT-PCR analyses of pooled cancer exosomes
Published in
BMC Genomics, January 2021
DOI 10.1186/s12864-020-07318-y
Pubmed ID
Authors

Yao Dai, Yumeng Cao, Jens Köhler, Aiping Lu, Shaohua Xu, Haiyun Wang

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 1 3%
Other 1 3%
Other 3 8%
Unknown 19 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 4 10%
Agricultural and Biological Sciences 3 8%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 10%
Unknown 19 49%
Attention Score in Context

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 13 March 2022.
All research outputs
#21,075,298
of 25,837,817 outputs
Outputs from BMC Genomics
#8,815
of 11,320 outputs
Outputs of similar age
#405,508
of 530,660 outputs
Outputs of similar age from BMC Genomics
#114
of 167 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 530,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.