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Systematic evaluation of isoform function in literature reports of alternative splicing

Overview of attention for article published in BMC Genomics, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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1 blog
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21 X users
wikipedia
2 Wikipedia pages

Citations

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35 Dimensions

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58 Mendeley
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1 CiteULike
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Title
Systematic evaluation of isoform function in literature reports of alternative splicing
Published in
BMC Genomics, August 2018
DOI 10.1186/s12864-018-5013-2
Pubmed ID
Authors

Shamsuddin A. Bhuiyan, Sophia Ly, Minh Phan, Brandon Huntington, Ellie Hogan, Chao Chun Liu, James Liu, Paul Pavlidis

Abstract

Although most genes in mammalian genomes have multiple isoforms, an ongoing debate is whether these isoforms are all functional as well as the extent to which they increase the functional repertoire of the genome. To ground this debate in data, it would be helpful to have a corpus of experimentally-verified cases of genes which have functionally distinct splice isoforms (FDSIs). We established a curation framework for evaluating experimental evidence of FDSIs, and analyzed over 700 human and mouse genes, strongly biased towards genes that are prominent in the alternative splicing literature. Despite this bias, we found experimental evidence meeting the classical definition for functionally distinct isoforms for ~ 5% of the curated genes. If we relax our criteria for inclusion to include weaker forms of evidence, the fraction of genes with evidence of FDSIs remains low (~ 13%). We provide evidence that this picture will not change substantially with further curation and conclude there is a large gap between the presumed impact of splicing on gene function and the experimental evidence. Furthermore, many functionally distinct isoforms were not traceable to a specific isoform in Ensembl, a database that forms the basis for much computational research. We conclude that the claim that alternative splicing vastly increases the functional repertoire of the genome is an extrapolation from a limited number of empirically supported cases. We also conclude that more work is needed to integrate experimental evidence and genome annotation databases. Our work should help shape research around the role of splicing on gene function from presuming large general effects to acknowledging the need for stronger experimental evidence.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Researcher 11 19%
Student > Bachelor 11 19%
Student > Master 7 12%
Student > Doctoral Student 2 3%
Other 7 12%
Unknown 6 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 47%
Agricultural and Biological Sciences 13 22%
Engineering 3 5%
Neuroscience 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 7%
Unknown 7 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 06 June 2022.
All research outputs
#1,310,648
of 23,956,119 outputs
Outputs from BMC Genomics
#243
of 10,836 outputs
Outputs of similar age
#28,861
of 337,575 outputs
Outputs of similar age from BMC Genomics
#8
of 184 outputs
Altmetric has tracked 23,956,119 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,836 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 337,575 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.