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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A standard numbering scheme for thiamine diphosphate-dependent decarboxylases
|
|---|---|
| Published in |
BMC Molecular and Cell Biology, November 2012
|
| DOI | 10.1186/1471-2091-13-24 |
| Pubmed ID | |
| Authors |
Constantin Vogel, Michael Widmann, Martina Pohl, Jürgen Pleiss |
| Abstract |
Standard numbering schemes for families of homologous proteins allow for the unambiguous identification of functionally and structurally relevant residues, to communicate results on mutations, and to systematically analyse sequence-function relationships in protein families. Standard numbering schemes have been successfully implemented for several protein families, including lactamases and antibodies, whereas a numbering scheme for the structural family of thiamine-diphosphate (ThDP) -dependent decarboxylases, a large subfamily of the class of ThDP-dependent enzymes encompassing pyruvate-, benzoylformate-, 2-oxo acid-, indolpyruvate- and phenylpyruvate decarboxylases, benzaldehyde lyase, acetohydroxyacid synthases and 2-succinyl-5-enolpyruvyl-6-hydroxy-3-cyclohexadiene-1-carboxylate synthase (MenD) is still missing.Despite a high structural similarity between the members of the ThDP-dependent decarboxylases, their sequences are diverse and make a pairwise sequence comparison of protein family members difficult. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| United Kingdom | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 28% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Professor | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 49% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Chemistry | 4 | 7% |
| Engineering | 3 | 5% |
| Computer Science | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 11 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 November 2012.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from BMC Molecular and Cell Biology
#778
of 1,233 outputs
Outputs of similar age
#190,440
of 284,350 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#11
of 25 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.