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Clostridium sticklandii, a specialist in amino acid degradation:revisiting its metabolism through its genome sequence

Overview of attention for article published in BMC Genomics, October 2010
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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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
130 Dimensions

Readers on

mendeley
176 Mendeley
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Title
Clostridium sticklandii, a specialist in amino acid degradation:revisiting its metabolism through its genome sequence
Published in
BMC Genomics, October 2010
DOI 10.1186/1471-2164-11-555
Pubmed ID
Authors

Nuria Fonknechten, Sébastien Chaussonnerie, Sabine Tricot, Aurélie Lajus, Jan R Andreesen, Nadia Perchat, Eric Pelletier, Michel Gouyvenoux, Valérie Barbe, Marcel Salanoubat, Denis Le Paslier, Jean Weissenbach, Georges N Cohen, Annett Kreimeyer

Abstract

Clostridium sticklandii belongs to a cluster of non-pathogenic proteolytic clostridia which utilize amino acids as carbon and energy sources. Isolated by T.C. Stadtman in 1954, it has been generally regarded as a "gold mine" for novel biochemical reactions and is used as a model organism for studying metabolic aspects such as the Stickland reaction, coenzyme-B12- and selenium-dependent reactions of amino acids. With the goal of revisiting its carbon, nitrogen, and energy metabolism, and comparing studies with other clostridia, its genome has been sequenced and analyzed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
Chile 1 <1%
Indonesia 1 <1%
Australia 1 <1%
Italy 1 <1%
Unknown 168 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 25%
Researcher 41 23%
Student > Master 23 13%
Student > Bachelor 15 9%
Student > Doctoral Student 9 5%
Other 18 10%
Unknown 26 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 34%
Biochemistry, Genetics and Molecular Biology 30 17%
Immunology and Microbiology 21 12%
Environmental Science 10 6%
Engineering 10 6%
Other 19 11%
Unknown 27 15%
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 17 April 2020.
All research outputs
#5,330,639
of 25,006,193 outputs
Outputs from BMC Genomics
#2,134
of 11,136 outputs
Outputs of similar age
#22,518
of 104,483 outputs
Outputs of similar age from BMC Genomics
#17
of 57 outputs
Altmetric has tracked 25,006,193 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 11,136 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 104,483 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 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.