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Using pyrosequencing to shed light on deep mine microbial ecology

Overview of attention for article published in BMC Genomics, March 2006
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Mentioned by

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6 Wikipedia pages

Citations

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406 Dimensions

Readers on

mendeley
660 Mendeley
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14 CiteULike
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1 Connotea
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Title
Using pyrosequencing to shed light on deep mine microbial ecology
Published in
BMC Genomics, March 2006
DOI 10.1186/1471-2164-7-57
Pubmed ID
Authors

Robert A Edwards, Beltran Rodriguez-Brito, Linda Wegley, Matthew Haynes, Mya Breitbart, Dean M Peterson, Martin O Saar, Scott Alexander, E Calvin Alexander, Forest Rohwer

Abstract

Contrasting biological, chemical and hydrogeological analyses highlights the fundamental processes that shape different environments. Generating and interpreting the biological sequence data was a costly and time-consuming process in defining an environment. Here we have used pyrosequencing, a rapid and relatively inexpensive sequencing technology, to generate environmental genome sequences from two sites in the Soudan Mine, Minnesota, USA. These sites were adjacent to each other, but differed significantly in chemistry and hydrogeology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 660 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 23 3%
Brazil 9 1%
United Kingdom 7 1%
Spain 6 <1%
India 5 <1%
Germany 4 <1%
France 3 <1%
Portugal 3 <1%
Denmark 3 <1%
Other 22 3%
Unknown 575 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 183 28%
Student > Ph. D. Student 162 25%
Student > Master 86 13%
Professor > Associate Professor 49 7%
Student > Bachelor 31 5%
Other 106 16%
Unknown 43 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 384 58%
Biochemistry, Genetics and Molecular Biology 59 9%
Environmental Science 57 9%
Earth and Planetary Sciences 29 4%
Immunology and Microbiology 15 2%
Other 47 7%
Unknown 69 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 March 2020.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from BMC Genomics
#3,597
of 10,647 outputs
Outputs of similar age
#23,410
of 66,729 outputs
Outputs of similar age from BMC Genomics
#10
of 27 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 66,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.