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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Targeted resequencing of GWAS loci reveals novel genetic variants for milk production traits
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1105 |
| Pubmed ID | |
| Authors |
Li Jiang, Xuan Liu, Jie Yang, Haifei Wang, Jicai Jiang, Lili Liu, Sang He, Xiangdong Ding, Jianfeng Liu, Qin Zhang |
| Abstract |
Genome wide association study (GWAS) has been proven to be a powerful tool for detecting genomic variants associated with complex traits. However, the specific genes and causal variants underlying these traits remain unclear. |
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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 59 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 5 | 8% |
| Student > Postgraduate | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 45% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Environmental Science | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 23 | 37% |
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 15 December 2014.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from BMC Genomics
#9,268
of 10,642 outputs
Outputs of similar age
#297,059
of 354,430 outputs
Outputs of similar age from BMC Genomics
#216
of 239 outputs
Altmetric has tracked 22,774,233 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 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. 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 354,430 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 239 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.