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Characterization of differential transcript abundance through time during Nematostella vectensisdevelopment

Overview of attention for article published in BMC Genomics, April 2013
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Characterization of differential transcript abundance through time during Nematostella vectensisdevelopment
Published in
BMC Genomics, April 2013
DOI 10.1186/1471-2164-14-266
Pubmed ID
Authors

Rebecca Rae Helm, Stefan Siebert, Sarah Tulin, Joel Smith, Casey William Dunn

Abstract

Nematostella vectensis, a burrowing sea anemone, has become a popular species for the study of cnidarian development. In previous studies, the expression of a variety of genes has been characterized during N. vectensis development with in situ mRNA hybridization. This has provided detailed spatial resolution and a qualitative perspective on changes in expression. However, little is known about broad transcriptome-level patterns of gene expression through time. Here we examine the expression of N. vectensis genes through the course of development with quantitative RNA-seq. We provide an overview of changes in the transcriptome through development, and examine the maternal to zygotic transition, which has been difficult to investigate with other tools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Chile 1 <1%
Norway 1 <1%
Australia 1 <1%
Brazil 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 113 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 33%
Researcher 27 22%
Student > Doctoral Student 11 9%
Student > Bachelor 10 8%
Student > Master 10 8%
Other 15 12%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 55%
Biochemistry, Genetics and Molecular Biology 28 23%
Environmental Science 7 6%
Neuroscience 2 2%
Earth and Planetary Sciences 2 2%
Other 6 5%
Unknown 10 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2013.
All research outputs
#14,783,193
of 25,371,288 outputs
Outputs from BMC Genomics
#5,112
of 11,244 outputs
Outputs of similar age
#113,625
of 210,029 outputs
Outputs of similar age from BMC Genomics
#85
of 182 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 54% 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 210,029 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 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.