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Approaching the taxonomic affiliation of unidentified sequences in public databases – an example from the mycorrhizal fungi

Overview of attention for article published in BMC Bioinformatics, July 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
107 Mendeley
citeulike
2 CiteULike
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Title
Approaching the taxonomic affiliation of unidentified sequences in public databases – an example from the mycorrhizal fungi
Published in
BMC Bioinformatics, July 2005
DOI 10.1186/1471-2105-6-178
Pubmed ID
Authors

R Henrik Nilsson, Erik Kristiansson, Martin Ryberg, Karl-Henrik Larsson

Abstract

During the last few years, DNA sequence analysis has become one of the primary means of taxonomic identification of species, particularly so for species that are minute or otherwise lack distinct, readily obtainable morphological characters. Although the number of sequences available for comparison in public databases such as GenBank increases exponentially, only a minuscule fraction of all organisms have been sequenced, leaving taxon sampling a momentous problem for sequence-based taxonomic identification. When querying GenBank with a set of unidentified sequences, a considerable proportion typically lack fully identified matches, forming an ever-mounting pile of sequences that the researcher will have to monitor manually in the hope that new, clarifying sequences have been submitted by other researchers. To alleviate these concerns, a project to automatically monitor select unidentified sequences in GenBank for taxonomic progress through repeated local BLAST searches was initiated. Mycorrhizal fungi--a field where species identification often is prohibitively complex--and the much used ITS locus were chosen as test bed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Italy 2 2%
Canada 2 2%
United Kingdom 2 2%
Ireland 1 <1%
Germany 1 <1%
Sweden 1 <1%
Algeria 1 <1%
Unknown 94 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 25%
Student > Ph. D. Student 25 23%
Student > Bachelor 8 7%
Student > Master 8 7%
Professor 7 7%
Other 19 18%
Unknown 13 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 62%
Environmental Science 9 8%
Biochemistry, Genetics and Molecular Biology 8 7%
Computer Science 3 3%
Arts and Humanities 2 2%
Other 4 4%
Unknown 15 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 05 October 2010.
All research outputs
#4,031,765
of 22,707,247 outputs
Outputs from BMC Bioinformatics
#1,562
of 7,255 outputs
Outputs of similar age
#9,012
of 57,241 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 24 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 57,241 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 84% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.