| Title |
BAsE-Seq: a method for obtaining long viral haplotypes from short sequence reads
|
|---|---|
| Published in |
Genome Biology, November 2014
|
| DOI | 10.1186/s13059-014-0517-9 |
| Pubmed ID | |
| Authors |
Lewis Z Hong, Shuzhen Hong, Han Teng Wong, Pauline PK Aw, Yan Cheng, Andreas Wilm, Paola F de Sessions, Seng Gee Lim, Niranjan Nagarajan, Martin L Hibberd, Stephen R Quake, William F Burkholder |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| United Kingdom | 1 | 1% |
| Unknown | 85 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Ph. D. Student | 18 | 20% |
| Student > Master | 15 | 17% |
| Student > Bachelor | 5 | 6% |
| Professor > Associate Professor | 5 | 6% |
| Other | 14 | 16% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 43% |
| Biochemistry, Genetics and Molecular Biology | 16 | 18% |
| Computer Science | 5 | 6% |
| Medicine and Dentistry | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 14 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 02 January 2024.
All research outputs
#3,621,892
of 25,374,647 outputs
Outputs from Genome Biology
#2,501
of 4,467 outputs
Outputs of similar age
#48,907
of 369,967 outputs
Outputs of similar age from Genome Biology
#54
of 98 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 43rd percentile – i.e., 43% 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 369,967 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.