| Title |
Optimal sequencing depth design for whole genome re-sequencing in pigs
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3164-z |
| Pubmed ID | |
| Authors |
Yifan Jiang, Yao Jiang, Sheng Wang, Qin Zhang, Xiangdong Ding |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Researcher | 16 | 18% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Student > Doctoral Student | 3 | 3% |
| Other | 6 | 7% |
| Unknown | 28 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 28% |
| Biochemistry, Genetics and Molecular Biology | 22 | 25% |
| Engineering | 2 | 2% |
| Environmental Science | 2 | 2% |
| Computer Science | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 28 | 32% |
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 04 February 2024.
All research outputs
#16,000,154
of 25,306,238 outputs
Outputs from BMC Bioinformatics
#4,983
of 7,673 outputs
Outputs of similar age
#211,801
of 374,311 outputs
Outputs of similar age from BMC Bioinformatics
#104
of 171 outputs
Altmetric has tracked 25,306,238 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,673 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 31st percentile – i.e., 31% 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 374,311 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.