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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improved linkage analysis of Quantitative Trait Loci using bulk segregants unveils a novel determinant of high ethanol tolerance in yeast
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-207 |
| Pubmed ID | |
| Authors |
Jorge Duitama, Aminael Sánchez-Rodríguez, Annelies Goovaerts, Sergio Pulido-Tamayo, Georg Hubmann, María R Foulquié-Moreno, Johan M Thevelein, Kevin J Verstrepen, Kathleen Marchal |
| Abstract |
Bulk segregant analysis (BSA) coupled to high throughput sequencing is a powerful method to map genomic regions related with phenotypes of interest. It relies on crossing two parents, one inferior and one superior for a trait of interest. Segregants displaying the trait of the superior parent are pooled, the DNA extracted and sequenced. Genomic regions linked to the trait of interest are identified by searching the pool for overrepresented alleles that normally originate from the superior parent. BSA data analysis is non-trivial due to sequencing, alignment and screening errors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Belgium | 2 | 2% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 93 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 28% |
| Researcher | 25 | 25% |
| Student > Master | 16 | 16% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 58% |
| Biochemistry, Genetics and Molecular Biology | 20 | 20% |
| Computer Science | 5 | 5% |
| Engineering | 2 | 2% |
| Medicine and Dentistry | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 13 | 13% |
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 09 March 2017.
All research outputs
#6,765,458
of 24,562,945 outputs
Outputs from BMC Genomics
#2,756
of 11,010 outputs
Outputs of similar age
#60,285
of 228,439 outputs
Outputs of similar age from BMC Genomics
#25
of 144 outputs
Altmetric has tracked 24,562,945 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 11,010 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 228,439 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 73% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.