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Analysis of the microRNA transcriptome and expression of different isomiRs in human peripheral blood mononuclear cells

Overview of attention for article published in BMC Research Notes, September 2013
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Title
Analysis of the microRNA transcriptome and expression of different isomiRs in human peripheral blood mononuclear cells
Published in
BMC Research Notes, September 2013
DOI 10.1186/1756-0500-6-390
Pubmed ID
Authors

Candida Vaz, Hafiz M Ahmad, Richa Bharti, Priyatama Pandey, Lalit Kumar, Ritu Kulshreshtha, Alok Bhattacharya

Abstract

MicroRNAs (miRNAs) have been recognized as one of the key regulatory non-coding RNAs that are involved in a number of basic cellular processes. miRNA expression profiling helps to identify miRNAs that could serve as biomarkers. Next generation sequencing (NGS) platforms provide the most effective way of miRNA profiling, particularly as expression of different isoforms of miRNA (IsomiRs) can be estimated by NGS. Therefore, it is now possible to discern the overall complexity of miRNA populations that participate in gene regulatory networks. It is thus important to consider different isoforms of miRNA as part of total profiling in order to understand all aspects of the biology of miRNAs.

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The data shown below were collected from the profiles of 2 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
India 1 2%
Germany 1 2%
Ireland 1 2%
Unknown 53 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Ph. D. Student 9 16%
Student > Master 8 14%
Professor > Associate Professor 5 9%
Student > Bachelor 5 9%
Other 11 19%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 37%
Biochemistry, Genetics and Molecular Biology 15 26%
Medicine and Dentistry 4 7%
Immunology and Microbiology 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 13 23%
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 01 October 2013.
All research outputs
#15,280,625
of 22,723,682 outputs
Outputs from BMC Research Notes
#2,312
of 4,259 outputs
Outputs of similar age
#126,015
of 204,835 outputs
Outputs of similar age from BMC Research Notes
#35
of 53 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 33rd percentile – i.e., 33% 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 204,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.