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Teratogen-induced alterations in microRNA-34, microRNA-125b and microRNA-155 expression: correlation with embryonic p53 genotype and limb phenotype

Overview of attention for article published in BMC Developmental Biology, February 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#26 of 131)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Teratogen-induced alterations in microRNA-34, microRNA-125b and microRNA-155 expression: correlation with embryonic p53 genotype and limb phenotype
Published in
BMC Developmental Biology, February 2010
DOI 10.1186/1471-213x-10-20
Pubmed ID
Authors

Keren Gueta, Natali Molotski, Natalie Gerchikov, Eyal Mor, Shoshana Savion, Amos Fein, Vladimir Toder, Noam Shomron, Arkady Torchinsky

Abstract

In a large number of studies, members of the microRNA (miRNA)-34 family such as miRNA-34a, miRNA-34b, miRNA-34c, as well as miRNA-125b and miRNA-155, have been shown to be regulators of apoptosis. The ability of these miRNAs to perform this function is mainly attributed to their ability to interact with the p53 tumor suppressor, which is a powerful regulator of the teratologic susceptibility of embryos. We chose to explore whether miRNA-34a/b/c, miRNA-125b and miRNA-155 may play a role in teratogenesis by using p53+/- pregnant mice treated with cyclophosphamide (CP) as a model. We evaluated how CP-induced alterations in the expression of these miRNAs in the embryonic limbs correlate with embryonic p53 genotype and CP-induced limb phenotypes.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Brazil 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 41%
Student > Bachelor 7 21%
Student > Ph. D. Student 5 15%
Professor > Associate Professor 2 6%
Student > Master 2 6%
Other 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 59%
Biochemistry, Genetics and Molecular Biology 6 18%
Medicine and Dentistry 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Arts and Humanities 1 3%
Other 0 0%
Unknown 2 6%

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 02 November 2010.
All research outputs
#816,402
of 3,629,591 outputs
Outputs from BMC Developmental Biology
#26
of 131 outputs
Outputs of similar age
#25,365
of 97,698 outputs
Outputs of similar age from BMC Developmental Biology
#1
of 9 outputs
Altmetric has tracked 3,629,591 research outputs across all sources so far. This one has received more attention than most of these and is in the 63rd percentile.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 70% 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 97,698 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 72% of its contemporaries.
We're also able to compare this research output to 9 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