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Development and validation of an oligonucleotide microarray to characterise ectomycorrhizal fungal communities

Overview of attention for article published in BMC Microbiology, November 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

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blogs
1 blog

Citations

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11 Dimensions

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48 Mendeley
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Title
Development and validation of an oligonucleotide microarray to characterise ectomycorrhizal fungal communities
Published in
BMC Microbiology, November 2009
DOI 10.1186/1471-2180-9-241
Pubmed ID
Authors

Marlis Reich, Annegret Kohler, Francis Martin, Marc Buée

Abstract

In forest ecosystems, communities of ectomycorrhizal fungi (ECM) are influenced by several biotic and abiotic factors. To understand their underlying dynamics, ECM communities have been surveyed with ribosomal DNA-based sequencing methods. However, most identification methods are both time-consuming and limited by the number of samples that can be treated in a realistic time frame. As a result of ongoing implementation, the array technique has gained throughput capacity in terms of the number of samples and the capacity for parallel identification of several species. Thus far, although phylochips (microarrays that are used to detect species) have been mostly developed to trace bacterial communities or groups of specific fungi, no phylochip has been developed to carry oligonucleotides for several ectomycorrhizal species that belong to different genera.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 8 17%
Student > Bachelor 5 10%
Student > Postgraduate 4 8%
Student > Master 4 8%
Other 8 17%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 60%
Environmental Science 5 10%
Biochemistry, Genetics and Molecular Biology 5 10%
Immunology and Microbiology 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 January 2010.
All research outputs
#6,329,970
of 25,373,627 outputs
Outputs from BMC Microbiology
#636
of 3,489 outputs
Outputs of similar age
#38,360
of 177,868 outputs
Outputs of similar age from BMC Microbiology
#8
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 81% 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 177,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.