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Metabolic classification of microbial genomes using functional probes

Overview of attention for article published in BMC Genomics, April 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
6 CiteULike
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Title
Metabolic classification of microbial genomes using functional probes
Published in
BMC Genomics, April 2012
DOI 10.1186/1471-2164-13-157
Pubmed ID
Authors

Chi-Ching Lee, Wei-Cheng Lo, Szu-Ming Lai, Yi-Ping Phoebe Chen, Chuan Yi Tang, Ping-Chiang Lyu

Abstract

Microorganisms able to grow under artificial culture conditions comprise only a small proportion of the biosphere's total microbial community. Until recently, scientists have been unable to perform thorough analyses of difficult-to-culture microorganisms due to limitations in sequencing technology. As modern techniques have dramatically increased sequencing rates and rapidly expanded the number of sequenced genomes, in addition to traditional taxonomic classifications which focus on the evolutionary relationships of organisms, classifications of the genomes based on alternative points of view may help advance our understanding of the delicate relationships of organisms.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 14%
Mexico 1 3%
Germany 1 3%
Australia 1 3%
Unknown 22 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Ph. D. Student 6 21%
Professor 4 14%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 69%
Biochemistry, Genetics and Molecular Biology 3 10%
Environmental Science 1 3%
Computer Science 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 2 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 April 2020.
All research outputs
#4,863,737
of 17,351,915 outputs
Outputs from BMC Genomics
#2,420
of 9,280 outputs
Outputs of similar age
#34,453
of 131,509 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 17,351,915 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 9,280 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 72% 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 131,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them