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Pediatric dilated cardiomyopathy hearts display a unique gene expression profile

Overview of attention for article published in JCI Insight, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 tweeters

Citations

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11 Dimensions

Readers on

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22 Mendeley
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Title
Pediatric dilated cardiomyopathy hearts display a unique gene expression profile
Published in
JCI Insight, July 2017
DOI 10.1172/jci.insight.94249
Pubmed ID
Authors

Philip D. Tatman, Kathleen C. Woulfe, Anis Karimpour-Fard, Danielle A. Jeffrey, James Jaggers, Joseph C. Cleveland, Karin Nunley, Matthew R.G. Taylor, Shelley D. Miyamoto, Brian L. Stauffer, Carmen C. Sucharov

Abstract

Our previous work showed myocellular differences in pediatric and adult dilated cardiomyopathy (DCM). However, a thorough characterization of the molecular pathways involved in pediatric DCM does not exist, limiting the development of age-specific therapies. To characterize this patient population, we investigated the transcriptome profile of pediatric patients. RNA-Seq from 7 DCM and 7 nonfailing (NF) explanted age-matched pediatric left ventricles (LV) was performed. Changes in gene expression were confirmed by real-time PCR (RT-PCR) in 36 DCM and 21 NF pediatric hearts and in 20 DCM and 10 NF adult hearts. The degree of myocyte hypertrophy was investigated in 4 DCM and 7 NF pediatric hearts and in 4 DCM and 9 NF adult hearts. Changes in gene expression in response to pluripotency-inducing factors were investigated in neonatal rat ventricular myocytes (NRVMs). Transcriptome analysis identified a gene expression profile in children compared with adults with DCM. Additionally, myocyte hypertrophy was not observed in pediatric hearts but was present in adult hearts. Furthermore, treatment of NRVMs with pluripotency-inducing factors recapitulated changes in gene expression observed in the pediatric DCM heart. Pediatric DCM is characterized by unique changes in gene expression that suggest maintenance of an undifferentiated state.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Ph. D. Student 3 14%
Student > Master 3 14%
Student > Doctoral Student 2 9%
Other 1 5%
Other 4 18%
Unknown 5 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 32%
Medicine and Dentistry 4 18%
Immunology and Microbiology 1 5%
Agricultural and Biological Sciences 1 5%
Psychology 1 5%
Other 2 9%
Unknown 6 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 August 2017.
All research outputs
#3,706,403
of 15,265,759 outputs
Outputs from JCI Insight
#903
of 1,884 outputs
Outputs of similar age
#74,865
of 269,290 outputs
Outputs of similar age from JCI Insight
#44
of 89 outputs
Altmetric has tracked 15,265,759 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has gotten more attention than average, scoring higher than 51% 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 269,290 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 89 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.