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The transcriptional landscape of mouse beta cells compared to human beta cells reveals notable species differences in long non-coding RNA and protein-coding gene expression

Overview of attention for article published in BMC Genomics, July 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 X user
patent
1 patent
peer_reviews
1 peer review site

Citations

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237 Dimensions

Readers on

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209 Mendeley
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Title
The transcriptional landscape of mouse beta cells compared to human beta cells reveals notable species differences in long non-coding RNA and protein-coding gene expression
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-620
Pubmed ID
Authors

Christopher Benner, Talitha van der Meulen, Elena Cacéres, Kristof Tigyi, Cynthia J Donaldson, Mark O Huising

Abstract

Insulin producing beta cell and glucagon producing alpha cells are colocalized in pancreatic islets in an arrangement that facilitates the coordinated release of the two principal hormones that regulate glucose homeostasis and prevent both hypoglycemia and diabetes. However, this intricate organization has also complicated the determination of the cellular source(s) of the expression of genes that are detected in the islet. This reflects a significant gap in our understanding of mouse islet physiology, which reduces the effectiveness by which mice model human islet disease.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 208 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 28%
Researcher 37 18%
Student > Master 28 13%
Student > Bachelor 18 9%
Professor 11 5%
Other 29 14%
Unknown 27 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 35%
Biochemistry, Genetics and Molecular Biology 63 30%
Medicine and Dentistry 18 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Neuroscience 4 2%
Other 16 8%
Unknown 31 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 October 2021.
All research outputs
#6,135,438
of 22,758,963 outputs
Outputs from BMC Genomics
#2,620
of 10,637 outputs
Outputs of similar age
#57,602
of 228,546 outputs
Outputs of similar age from BMC Genomics
#44
of 201 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 228,546 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 74% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.