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Global catalogue of microorganisms (gcm): a comprehensive database and information retrieval, analysis, and visualization system for microbial resources

Overview of attention for article published in BMC Genomics, December 2013
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1 X user

Citations

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43 Dimensions

Readers on

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88 Mendeley
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2 CiteULike
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Title
Global catalogue of microorganisms (gcm): a comprehensive database and information retrieval, analysis, and visualization system for microbial resources
Published in
BMC Genomics, December 2013
DOI 10.1186/1471-2164-14-933
Pubmed ID
Authors

Linhuan Wu, Qinglan Sun, Hideaki Sugawara, Song Yang, Yuguang Zhou, Kevin McCluskey, Alexander Vasilenko, Ken-Ichiro Suzuki, Moriya Ohkuma, Yeonhee Lee, Vincent Robert, Supawadee Ingsriswang, François Guissart, Desmeth Philippe, Juncai Ma

Abstract

Throughout the long history of industrial and academic research, many microbes have been isolated, characterized and preserved (whenever possible) in culture collections. With the steady accumulation in observational data of biodiversity as well as microbial sequencing data, bio-resource centers have to function as data and information repositories to serve academia, industry, and regulators on behalf of and for the general public. Hence, the World Data Centre for Microorganisms (WDCM) started to take its responsibility for constructing an effective information environment that would promote and sustain microbial research data activities, and bridge the gaps currently present within and outside the microbiology communities.

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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 25%
Student > Ph. D. Student 12 14%
Student > Bachelor 10 11%
Student > Doctoral Student 8 9%
Student > Master 6 7%
Other 12 14%
Unknown 18 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 39%
Biochemistry, Genetics and Molecular Biology 11 13%
Environmental Science 5 6%
Engineering 4 5%
Computer Science 3 3%
Other 7 8%
Unknown 24 27%
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 31 December 2013.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Genomics
#9,455
of 10,793 outputs
Outputs of similar age
#273,109
of 311,035 outputs
Outputs of similar age from BMC Genomics
#385
of 438 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 311,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 438 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.