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Characterization of human platelet microRNA by quantitative PCR coupled with an annotation network for predicted target genes

Overview of attention for article published in Platelets, March 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 683)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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4 patents
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1 Facebook page
wikipedia
1 Wikipedia page

Citations

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96 Dimensions

Readers on

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63 Mendeley
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Title
Characterization of human platelet microRNA by quantitative PCR coupled with an annotation network for predicted target genes
Published in
Platelets, March 2011
DOI 10.3109/09537104.2011.560305
Pubmed ID
Authors

Abdimajid Osman, Knut Fälker

Abstract

Platelets are anucleate blood cells that play a crucial role in thrombosis and hemostasis. Despite their lack of nuclear DNA, platelets contain significant amounts of microRNA (miRNA) that may have vital functions in post-transcriptional gene regulation. Here, we combined comprehensive miRNA expression profiling by quantitative PCR with target prediction analysis for the most abundant miRNAs in human platelets. A network composed of predicted platelet miRNA target genes was then constructed, using annotations available in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. In addition, we evaluated possible differences in miRNA levels between resting and thrombin-stimulated platelets. We identified 281 transcripts, including 228 mature miRNAs and 53 minor miRNAs (or miR*), of which six miRNAs (miR-15 a, miR-339-3 p, miR-365, miR-495, miR-98, and miR-361-3 p) were up- or down-regulated in activated human platelets (P ≤ 0.001). A redundancy-reduced network was established that encompassed 246 genes in five statistically significant functional clusters representing platelet miRNA regulating pathways. Comparison of the 246 network genes with the platelet mRNA expression data available at ArrayExpress database confirmed that most of these genes (89%) are expressed in human platelets. In conclusion, this work affirms a recent microarray study reporting a wide-spread existence of miRNAs in human platelets. Further, we observed that thrombin stimulation was associated with altered levels of some miRNAs in platelets. The proposed functional network, combining computational prediction analysis with annotations from experimental observations, may in addition provide some information about probable miRNA target pathways in human platelets.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 2%
Brazil 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 14 22%
Student > Master 6 10%
Student > Bachelor 5 8%
Other 5 8%
Other 8 13%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Medicine and Dentistry 18 29%
Biochemistry, Genetics and Molecular Biology 9 14%
Arts and Humanities 1 2%
Mathematics 1 2%
Other 6 10%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 23 January 2020.
All research outputs
#3,181,593
of 22,713,403 outputs
Outputs from Platelets
#38
of 683 outputs
Outputs of similar age
#14,824
of 108,470 outputs
Outputs of similar age from Platelets
#1
of 8 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 683 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 94% 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 108,470 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 86% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them