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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Variation block-based genomics method for crop plants
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-477 |
| Pubmed ID | |
| Authors |
Yul Ho Kim, Hyang Mi Park, Tae-Young Hwang, Seuk Ki Lee, Man Soo Choi, Sungwoong Jho, Seungwoo Hwang, Hak-Min Kim, Dongwoo Lee, Byoung-Chul Kim, Chang Pyo Hong, Yun Sung Cho, Hyunmin Kim, Kwang Ho Jeong, Min Jung Seo, Hong Tai Yun, Sun Lim Kim, Young-Up Kwon, Wook Han Kim, Hye Kyung Chun, Sang Jong Lim, Young-Ah Shin, Ik-Young Choi, Young Sun Kim, Ho-Sung Yoon, Suk-Ha Lee, Sunghoon Lee |
| Abstract |
In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for the screening of target loci for agricultural traits. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 8% |
| United States | 1 | 4% |
| Unknown | 21 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 29% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 42% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |
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 18 June 2014.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#209,022
of 242,885 outputs
Outputs of similar age from BMC Genomics
#230
of 277 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 242,885 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.