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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the design of clone-based haplotyping
|
|---|---|
| Published in |
Genome Biology, September 2013
|
| DOI | 10.1186/gb-2013-14-9-r100 |
| Pubmed ID | |
| Authors |
Christine Lo, Rui Liu, Jehyuk Lee, Kimberly Robasky, Susan Byrne, Carolina Lucchesi, John Aach, George Church, Vineet Bafna, Kun Zhang |
| Abstract |
Haplotypes are important for assessing genealogy and disease susceptibility of individual genomes, but are difficult to obtain with routine sequencing approaches. Experimental haplotype reconstruction based on assembling fragments of individual chromosomes is promising, but with variable yields due to incompletely understood parameter choices. |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 9% |
| Unknown | 31 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 41% |
| Student > Ph. D. Student | 8 | 24% |
| Student > Postgraduate | 3 | 9% |
| Other | 2 | 6% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 35% |
| Biochemistry, Genetics and Molecular Biology | 10 | 29% |
| Computer Science | 4 | 12% |
| Immunology and Microbiology | 1 | 3% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 March 2023.
All research outputs
#7,960,052
of 25,374,647 outputs
Outputs from Genome Biology
#3,393
of 4,467 outputs
Outputs of similar age
#65,430
of 210,951 outputs
Outputs of similar age from Genome Biology
#25
of 43 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 23rd percentile – i.e., 23% 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 210,951 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.