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Mendeley readers
Attention Score in Context
| Title |
Extending the models for iron and sulfur oxidation in the extreme Acidophile Acidithiobacillus ferrooxidans
|
|---|---|
| Published in |
BMC Genomics, August 2009
|
| DOI | 10.1186/1471-2164-10-394 |
| Pubmed ID | |
| Authors |
Raquel Quatrini, Corinne Appia-Ayme, Yann Denis, Eugenia Jedlicki, David S Holmes, Violaine Bonnefoy |
| Abstract |
Acidithiobacillus ferrooxidans gains energy from the oxidation of ferrous iron and various reduced inorganic sulfur compounds at very acidic pH. Although an initial model for the electron pathways involved in iron oxidation has been developed, much less is known about the sulfur oxidation in this microorganism. In addition, what has been reported for both iron and sulfur oxidation has been derived from different A. ferrooxidans strains, some of which have not been phylogenetically characterized and some have been shown to be mixed cultures. It is necessary to provide models of iron and sulfur oxidation pathways within one strain of A. ferrooxidans in order to comprehend the full metabolic potential of the pangenome of the genus. |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Germany | 1 | <1% |
| India | 1 | <1% |
| Netherlands | 1 | <1% |
| Russia | 1 | <1% |
| Czechia | 1 | <1% |
| Unknown | 250 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 23% |
| Student > Bachelor | 46 | 18% |
| Researcher | 39 | 15% |
| Student > Master | 28 | 11% |
| Student > Doctoral Student | 16 | 6% |
| Other | 32 | 12% |
| Unknown | 39 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 85 | 33% |
| Biochemistry, Genetics and Molecular Biology | 46 | 18% |
| Environmental Science | 22 | 8% |
| Engineering | 16 | 6% |
| Chemistry | 9 | 3% |
| Other | 37 | 14% |
| Unknown | 44 | 17% |
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 04 February 2015.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BMC Genomics
#3,597
of 10,647 outputs
Outputs of similar age
#33,300
of 95,334 outputs
Outputs of similar age from BMC Genomics
#9
of 28 outputs
Altmetric has tracked 22,790,780 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 95,334 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.