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Transcriptome analyses of the human retina identify unprecedented transcript diversity and 3.5 Mb of novel transcribed sequence via significant alternative splicing and novel genes

Overview of attention for article published in BMC Genomics, July 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
7 news outlets
twitter
3 X users
patent
2 patents

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
150 Mendeley
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Title
Transcriptome analyses of the human retina identify unprecedented transcript diversity and 3.5 Mb of novel transcribed sequence via significant alternative splicing and novel genes
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-486
Pubmed ID
Authors

Michael H Farkas, Gregory R Grant, Joseph A White, Maria E Sousa, Mark B Consugar, Eric A Pierce

Abstract

The retina is a complex tissue comprised of multiple cell types that is affected by a diverse set of diseases that are important causes of vision loss. Characterizing the transcripts, both annotated and novel, that are expressed in a given tissue has become vital for understanding the mechanisms underlying the pathology of disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Brazil 2 1%
South Africa 2 1%
Italy 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Sweden 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 137 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 30%
Researcher 38 25%
Student > Postgraduate 11 7%
Professor 10 7%
Student > Master 8 5%
Other 22 15%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 42%
Biochemistry, Genetics and Molecular Biology 41 27%
Medicine and Dentistry 13 9%
Neuroscience 6 4%
Computer Science 2 1%
Other 8 5%
Unknown 17 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 09 December 2020.
All research outputs
#629,160
of 22,714,025 outputs
Outputs from BMC Genomics
#74
of 10,626 outputs
Outputs of similar age
#5,411
of 196,607 outputs
Outputs of similar age from BMC Genomics
#1
of 119 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% 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 196,607 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 97% of its contemporaries.
We're also able to compare this research output to 119 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 99% of its contemporaries.