| Title |
QTL-BSA: A Bulked Segregant Analysis and Visualization Pipeline for QTL-seq
|
|---|---|
| Published in |
Interdisciplinary Sciences: Computational Life Sciences, August 2019
|
| DOI | 10.1007/s12539-019-00344-9 |
| Pubmed ID | |
| Authors |
Sanling Wu, Jie Qiu, Qikang Gao |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Researcher | 5 | 14% |
| Student > Bachelor | 2 | 5% |
| Other | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 15 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 41% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Economics, Econometrics and Finance | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Materials Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 43% |
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 12 August 2019.
All research outputs
#18,687,330
of 23,153,849 outputs
Outputs from Interdisciplinary Sciences: Computational Life Sciences
#167
of 297 outputs
Outputs of similar age
#256,996
of 345,071 outputs
Outputs of similar age from Interdisciplinary Sciences: Computational Life Sciences
#2
of 3 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 297 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 30th percentile – i.e., 30% 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 345,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.