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Phylogeny of the SOX Family of Developmental Transcription Factors Based on Sequence and Structural Indicators

Overview of attention for article published in Developmental Biology, November 2000
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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 (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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3 patents
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16 Wikipedia pages

Citations

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824 Dimensions

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411 Mendeley
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Title
Phylogeny of the SOX Family of Developmental Transcription Factors Based on Sequence and Structural Indicators
Published in
Developmental Biology, November 2000
DOI 10.1006/dbio.2000.9883
Pubmed ID
Authors

Josephine Bowles, Goslik Schepers, Peter Koopman

Abstract

Members of the SOX family of transcription factors are found throughout the animal kingdom, are characterized by the presence of a DNA-binding HMG domain, and are involved in a diverse range of developmental processes. Previous attempts to group SOX genes and deduce their structural, functional, and evolutionary relationships have relied largely on complete or partial HMG box sequence of a limited number of genes. In this study, we have used complete HMG domain sequence, full-length protein structure, and gene organization data to study the pattern of evolution within the family. For the first time, a substantial number of invertebrate SOX sequences have been included in the analysis. We find support for subdivision of the family into groups A-H, as has been suggested in some previous studies, and for the assignment of two new groups, I and J. For vertebrate genes, it appears that relatedness as suggested by HMG domain sequence is congruent with relatedness as indicated by overall structure of the full-length protein and intron-exon structure of the genes. Most of the SOX groups identified in vertebrates were represented by a single SOX sequence in each invertebrate species studied. We have named anonymous sequences and, where appropriate, have suggested systematic names for some previously identified sequences. In addition, we identify an HMG domain signature motif which may be considered representative of the SOX family. Based on our data, we propose a robust phylogeny of SOX genes that reflects their evolutionary history in metazoans.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 411 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Germany 3 <1%
Portugal 1 <1%
Netherlands 1 <1%
Indonesia 1 <1%
Chile 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Other 2 <1%
Unknown 395 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 21%
Researcher 78 19%
Student > Master 55 13%
Student > Bachelor 37 9%
Professor > Associate Professor 30 7%
Other 65 16%
Unknown 60 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 186 45%
Biochemistry, Genetics and Molecular Biology 86 21%
Medicine and Dentistry 33 8%
Neuroscience 12 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 <1%
Other 19 5%
Unknown 71 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 03 December 2023.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from Developmental Biology
#945
of 5,699 outputs
Outputs of similar age
#6,949
of 42,064 outputs
Outputs of similar age from Developmental Biology
#9
of 27 outputs
Altmetric has tracked 26,017,215 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 5,699 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 75% 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 42,064 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 70% of its contemporaries.
We're also able to compare this research output to 27 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 59% of its contemporaries.