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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deleted copy number variation of Hanwoo and Holstein using next generation sequencing at the population level
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-240 |
| Pubmed ID | |
| Authors |
Dong-Hyun Shin, Hyun-Jeong Lee, Seoae Cho, Hyeon Jeong Kim, Jae Yeon Hwang, Chang-Kyu Lee, JinYoung Jeong, Duhak Yoon, Heebal Kim |
| Abstract |
Copy number variation (CNV), a source of genetic diversity in mammals, has been shown to underlie biological functions related to production traits. Notwithstanding, there have been few studies conducted on CNVs using next generation sequencing at the population level. |
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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| Uruguay | 1 | 2% |
| Canada | 1 | 2% |
| France | 1 | 2% |
| Unknown | 51 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Student > Ph. D. Student | 10 | 18% |
| Student > Master | 10 | 18% |
| Student > Doctoral Student | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Other | 2 | 4% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 61% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Veterinary Science and Veterinary Medicine | 3 | 5% |
| Computer Science | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 11 | 20% |
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 05 March 2015.
All research outputs
#13,866,700
of 23,498,099 outputs
Outputs from BMC Genomics
#5,117
of 10,787 outputs
Outputs of similar age
#112,063
of 226,087 outputs
Outputs of similar age from BMC Genomics
#56
of 158 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% 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 226,087 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 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 60% of its contemporaries.