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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Complete genome sequence and comparative analysis of Acetobacter pasteurianus 386B, a strain well-adapted to the cocoa bean fermentation ecosystem
|
|---|---|
| Published in |
BMC Genomics, August 2013
|
| DOI | 10.1186/1471-2164-14-526 |
| Pubmed ID | |
| Authors |
Koen Illeghems, Luc De Vuyst, Stefan Weckx |
| Abstract |
Acetobacter pasteurianus 386B, an acetic acid bacterium originating from a spontaneous cocoa bean heap fermentation, proved to be an ideal functional starter culture for coca bean fermentations. It is able to dominate the fermentation process, thereby resisting high acetic acid concentrations and temperatures. However, the molecular mechanisms underlying its metabolic capabilities and niche adaptations are unknown. In this study, whole-genome sequencing and comparative genome analysis was used to investigate this strain's mechanisms to dominate the cocoa bean fermentation process. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 33% |
| Belgium | 1 | 11% |
| Australia | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Philippines | 1 | <1% |
| Denmark | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 156 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 18% |
| Student > Master | 26 | 16% |
| Student > Bachelor | 18 | 11% |
| Researcher | 17 | 11% |
| Student > Doctoral Student | 10 | 6% |
| Other | 27 | 17% |
| Unknown | 33 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 36% |
| Biochemistry, Genetics and Molecular Biology | 32 | 20% |
| Immunology and Microbiology | 5 | 3% |
| Engineering | 5 | 3% |
| Chemistry | 4 | 3% |
| Other | 18 | 11% |
| Unknown | 37 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 August 2013.
All research outputs
#6,495,853
of 23,881,329 outputs
Outputs from BMC Genomics
#2,689
of 10,793 outputs
Outputs of similar age
#53,529
of 201,413 outputs
Outputs of similar age from BMC Genomics
#27
of 119 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 201,413 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 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.