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i AK692: A genome-scale metabolic model of Spirulina platensis C1

Overview of attention for article published in BMC Systems Biology, June 2012
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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2 X users

Citations

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36 Dimensions

Readers on

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121 Mendeley
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3 CiteULike
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Title
i AK692: A genome-scale metabolic model of Spirulina platensis C1
Published in
BMC Systems Biology, June 2012
DOI 10.1186/1752-0509-6-71
Pubmed ID
Authors

Amornpan Klanchui, Chiraphan Khannapho, Atchara Phodee, Supapon Cheevadhanarak, Asawin Meechai

Abstract

Spirulina (Arthrospira) platensis is a well-known filamentous cyanobacterium used in the production of many industrial products, including high value compounds, healthy food supplements, animal feeds, pharmaceuticals and cosmetics, for example. It has been increasingly studied around the world for scientific purposes, especially for its genome, biology, physiology, and also for the analysis of its small-scale metabolic network. However, the overall description of the metabolic and biotechnological capabilities of S. platensis requires the development of a whole cellular metabolism model. Recently, the S. platensis C1 (Arthrospira sp. PCC9438) genome sequence has become available, allowing systems-level studies of this commercial cyanobacterium.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Chile 1 <1%
France 1 <1%
South Africa 1 <1%
Singapore 1 <1%
Iran, Islamic Republic of 1 <1%
United States 1 <1%
Unknown 114 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Researcher 22 18%
Student > Bachelor 18 15%
Student > Master 15 12%
Student > Doctoral Student 7 6%
Other 15 12%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 36%
Biochemistry, Genetics and Molecular Biology 20 17%
Engineering 19 16%
Computer Science 5 4%
Chemical Engineering 4 3%
Other 13 11%
Unknown 17 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 June 2012.
All research outputs
#13,363,429
of 22,668,244 outputs
Outputs from BMC Systems Biology
#476
of 1,142 outputs
Outputs of similar age
#91,918
of 166,052 outputs
Outputs of similar age from BMC Systems Biology
#17
of 38 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 55% 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 166,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 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.