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Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing

Overview of attention for article published in BMC Medical Genomics, July 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
1 CiteULike
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Title
Biomarker discovery: quantification of microRNAs and other small non-coding RNAs using next generation sequencing
Published in
BMC Medical Genomics, July 2015
DOI 10.1186/s12920-015-0109-x
Pubmed ID
Authors

Juan Pablo Lopez, Alpha Diallo, Cristiana Cruceanu, Laura M. Fiori, Sylvie Laboissiere, Isabelle Guillet, Joelle Fontaine, Jiannis Ragoussis, Vladimir Benes, Gustavo Turecki, Carl Ernst

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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Ireland 1 <1%
South Africa 1 <1%
Switzerland 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Luxembourg 1 <1%
Unknown 165 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 23%
Student > Ph. D. Student 32 18%
Student > Master 19 11%
Student > Bachelor 15 9%
Other 11 6%
Other 24 14%
Unknown 33 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 28%
Biochemistry, Genetics and Molecular Biology 35 20%
Medicine and Dentistry 19 11%
Chemistry 7 4%
Neuroscience 5 3%
Other 18 10%
Unknown 42 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 March 2024.
All research outputs
#2,384,621
of 25,391,701 outputs
Outputs from BMC Medical Genomics
#104
of 2,445 outputs
Outputs of similar age
#29,314
of 277,683 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 55 outputs
Altmetric has tracked 25,391,701 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,445 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 95% 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 277,683 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 89% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.