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Genomic Analysis of Mouse Retinal Development

Overview of attention for article published in PLoS Biology, June 2004
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

patent
7 patents
wikipedia
3 Wikipedia pages

Readers on

mendeley
376 Mendeley
citeulike
2 CiteULike
connotea
2 Connotea
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Article details
Title
Genomic Analysis of Mouse Retinal Development
Published in
PLoS Biology, June 2004
DOI 10.1371/journal.pbio.0020247
Pubmed ID
Authors
Abstract

The vertebrate retina is comprised of seven major cell types that are generated in overlapping but well-defined intervals. To identify genes that might regulate retinal development, gene expression in the developing retina was profiled at multiple time points using serial analysis of gene expression (SAGE). The expression patterns of 1,051 genes that showed developmentally dynamic expression by SAGE were investigated using in situ hybridization. A molecular atlas of gene expression in the developing and mature retina was thereby constructed, along with a taxonomic classification of developmental gene expression patterns. Genes were identified that label both temporal and spatial subsets of mitotic progenitor cells. For each developing and mature major retinal cell type, genes selectively expressed in that cell type were identified. The gene expression profiles of retinal Müller glia and mitotic progenitor cells were found to be highly similar, suggesting that Müller glia might serve to produce multiple retinal cell types under the right conditions. In addition, multiple transcripts that were evolutionarily conserved that did not appear to encode open reading frames of more than 100 amino acids in length ("noncoding RNAs") were found to be dynamically and specifically expressed in developing and mature retinal cell types. Finally, many photoreceptor-enriched genes that mapped to chromosomal intervals containing retinal disease genes were identified. These data serve as a starting point for functional investigations of the roles of these genes in retinal development and physiology.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 376 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 8 2%
United Kingdom 3 <1%
India 2 <1%
Brazil 2 <1%
Japan 1 <1%
Italy 1 <1%
France 1 <1%
Finland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 355 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 84 22%
Researcher 82 22%
Student > Master 31 8%
Professor > Associate Professor 27 7%
Student > Bachelor 26 7%
Other 71 19%
Unknown 55 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 154 41%
Biochemistry, Genetics and Molecular Biology 68 18%
Neuroscience 33 9%
Medicine and Dentistry 32 9%
Computer Science 6 2%
Other 19 5%
Unknown 64 17%
Attention Score in Context

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 10 February 2026.
All research outputs
#6,682,255
of 30,990,086 outputs
Outputs from PLoS Biology
#5,020
of 7,275 outputs
Outputs of similar age
#15,161
of 72,443 outputs
Outputs of similar age from PLoS Biology
#21
of 44 outputs
Altmetric has tracked 30,990,086 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.9. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 72,443 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 66% of its contemporaries.
We're also able to compare this research output to 44 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 52% of its contemporaries.