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An Atlas of annotations of Hydra vulgaris transcriptome

Overview of attention for article published in BMC Bioinformatics, September 2016
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Title
An Atlas of annotations of Hydra vulgaris transcriptome
Published in
BMC Bioinformatics, September 2016
DOI 10.1186/s12859-016-1172-9
Pubmed ID
Authors

Daniela Evangelista, Kumar Parijat Tripathi, Mario Rosario Guarracino

Abstract

RNA sequencing takes advantage of the Next Generation Sequencing (NGS) technologies for analyzing RNA transcript counts with an excellent accuracy. Trying to interpret this huge amount of data in biological information is still a key issue, reason for which the creation of web-resources useful for their analysis is highly desiderable. Starting from a previous work, Transcriptator, we present the Atlas of Hydra's vulgaris, an extensible web tool in which its complete transcriptome is annotated. In order to provide to the users an advantageous resource that include the whole functional annotated transcriptome of Hydra vulgaris water polyp, we implemented the Atlas web-tool contains 31.988 accesible and downloadable transcripts of this non-reference model organism. Atlas, as a freely available resource, can be considered a valuable tool to rapidly retrieve functional annotation for transcripts differentially expressed in Hydra vulgaris exposed to the distinct experimental treatments. WEB RESOURCE URL: http://www-labgtp.na.icar.cnr.it/Atlas .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 33%
Student > Bachelor 4 17%
Researcher 3 13%
Professor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 3 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 25%
Agricultural and Biological Sciences 5 21%
Computer Science 3 13%
Engineering 2 8%
Neuroscience 2 8%
Other 1 4%
Unknown 5 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 February 2017.
All research outputs
#17,817,005
of 22,889,074 outputs
Outputs from BMC Bioinformatics
#5,949
of 7,298 outputs
Outputs of similar age
#230,124
of 321,010 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 124 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.