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Mendeley readers
Attention Score in Context
| Title |
A genome-wide association study of seed protein and oil content in soybean
|
|---|---|
| Published in |
BMC Genomics, January 2014
|
| DOI | 10.1186/1471-2164-15-1 |
| Pubmed ID | |
| Authors |
Eun-Young Hwang, Qijian Song, Gaofeng Jia, James E Specht, David L Hyten, Jose Costa, Perry B Cregan |
| Abstract |
Association analysis is an alternative to conventional family-based methods to detect the location of gene(s) or quantitative trait loci (QTL) and provides relatively high resolution in terms of defining the genome position of a gene or QTL. Seed protein and oil concentration are quantitative traits which are determined by the interaction among many genes with small to moderate genetic effects and their interaction with the environment. In this study, a genome-wide association study (GWAS) was performed to identify quantitative trait loci (QTL) controlling seed protein and oil concentration in 298 soybean germplasm accessions exhibiting a wide range of seed protein and oil content. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| Brazil | 2 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Egypt | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 271 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 22% |
| Researcher | 54 | 19% |
| Student > Master | 42 | 15% |
| Student > Doctoral Student | 14 | 5% |
| Student > Bachelor | 14 | 5% |
| Other | 31 | 11% |
| Unknown | 64 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 165 | 59% |
| Biochemistry, Genetics and Molecular Biology | 31 | 11% |
| Engineering | 3 | 1% |
| Computer Science | 1 | <1% |
| Earth and Planetary Sciences | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 70 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 August 2022.
All research outputs
#7,095,193
of 23,206,358 outputs
Outputs from BMC Genomics
#3,256
of 10,725 outputs
Outputs of similar age
#83,997
of 307,320 outputs
Outputs of similar age from BMC Genomics
#154
of 446 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,725 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 68% 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 307,320 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 71% of its contemporaries.
We're also able to compare this research output to 446 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 64% of its contemporaries.