↓ Skip to main content

AlgaePath: comprehensive analysis of metabolic pathways using transcript abundance data from next-generation sequencing in green algae

Overview of attention for article published in BMC Genomics, March 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
79 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
AlgaePath: comprehensive analysis of metabolic pathways using transcript abundance data from next-generation sequencing in green algae
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-196
Pubmed ID
Authors

Han-Qin Zheng, Yi-Fan Chiang-Hsieh, Chia-Hung Chien, Bo-Kai Justin Hsu, Tsung-Lin Liu, Ching-Nen Nathan Chen, Wen-Chi Chang

Abstract

Algae are important non-vascular plants that have many research applications, including high species diversity, biofuel sources, and adsorption of heavy metals and, following processing, are used as ingredients in health supplements. The increasing availability of next-generation sequencing (NGS) data for algae genomes and transcriptomes has made the development of an integrated resource for retrieving gene expression data and metabolic pathway essential for functional analysis and systems biology. In a currently available resource, gene expression profiles and biological pathways are displayed separately, making it impossible to easily search current databases to identify the cellular response mechanisms. Therefore, in this work the novel AlgaePath database was developed to retrieve transcript abundance profiles efficiently under various conditions in numerous metabolic pathways.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 3%
Brazil 1 1%
France 1 1%
Denmark 1 1%
New Zealand 1 1%
Unknown 73 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 27%
Student > Ph. D. Student 18 23%
Student > Bachelor 11 14%
Student > Master 7 9%
Student > Doctoral Student 4 5%
Other 12 15%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 58%
Biochemistry, Genetics and Molecular Biology 13 16%
Environmental Science 6 8%
Computer Science 3 4%
Decision Sciences 1 1%
Other 2 3%
Unknown 8 10%
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 28 March 2014.
All research outputs
#21,016,779
of 25,813,008 outputs
Outputs from BMC Genomics
#8,801
of 11,331 outputs
Outputs of similar age
#175,453
of 236,748 outputs
Outputs of similar age from BMC Genomics
#160
of 215 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,331 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 236,748 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.