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Mendeley readers
Attention Score in Context
| Title |
Application of in silico bulked segregant analysis for rapid development of markers linked to Bean common mosaic virusresistance in common bean
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-903 |
| Pubmed ID | |
| Authors |
Marco H Bello, Samira M Moghaddam, Mark Massoudi, Phillip E McClean, Perry B Cregan, Phillip N Miklas |
| Abstract |
Common bean was one of the first crops that benefited from the development and utilization of molecular marker-assisted selection (MAS) for major disease resistance genes. Efficiency of MAS for breeding common bean is still hampered, however, due to the dominance, linkage phase, and loose linkage of previously developed markers. Here we applied in silico bulked segregant analysis (BSA) to the BeanCAP diversity panel, composed of over 500 lines and genotyped with the BARCBEAN_3 6K SNP BeadChip, to develop codominant and tightly linked markers to the I gene controlling resistance to Bean common mosaic virus (BCMV). |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Indonesia | 1 | 1% |
| Italy | 1 | 1% |
| Kenya | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 73 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 24% |
| Student > Master | 15 | 19% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 9 | 12% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 78% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Earth and Planetary Sciences | 1 | 1% |
| Medicine and Dentistry | 1 | 1% |
| Unknown | 9 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 July 2015.
All research outputs
#14,931,785
of 23,881,329 outputs
Outputs from BMC Genomics
#5,848
of 10,793 outputs
Outputs of similar age
#135,808
of 258,251 outputs
Outputs of similar age from BMC Genomics
#95
of 207 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 258,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 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 50% of its contemporaries.