| Title |
Towards a comprehensive structural variation map of an individual human genome
|
|---|---|
| Published in |
Genome Biology, May 2010
|
| DOI | 10.1186/gb-2010-11-5-r52 |
| Pubmed ID | |
| Authors |
Andy W Pang, Jeffrey R MacDonald, Dalila Pinto, John Wei, Muhammad A Rafiq, Donald F Conrad, Hansoo Park, Matthew E Hurles, Charles Lee, J Craig Venter, Ewen F Kirkness, Samuel Levy, Lars Feuk, Stephen W Scherer |
| Abstract |
Several genomes have now been sequenced, with millions of genetic variants annotated. While significant progress has been made in mapping single nucleotide polymorphisms (SNPs) and small (<10 bp) insertion/deletions (indels), the annotation of larger structural variants has been less comprehensive. It is still unclear to what extent a typical genome differs from the reference assembly, and the analysis of the genomes sequenced to date have shown varying results for copy number variation (CNV) and inversions. |
Mendeley readers
The data shown below were compiled from readership statistics for 446 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| United Kingdom | 6 | 1% |
| Brazil | 5 | 1% |
| Belgium | 4 | <1% |
| Canada | 3 | <1% |
| Switzerland | 2 | <1% |
| Netherlands | 2 | <1% |
| Italy | 2 | <1% |
| Sweden | 1 | <1% |
| Other | 11 | 2% |
| Unknown | 400 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 107 | 24% |
| Researcher | 102 | 23% |
| Student > Master | 50 | 11% |
| Student > Bachelor | 34 | 8% |
| Professor > Associate Professor | 28 | 6% |
| Other | 80 | 18% |
| Unknown | 45 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 222 | 50% |
| Biochemistry, Genetics and Molecular Biology | 82 | 18% |
| Medicine and Dentistry | 35 | 8% |
| Computer Science | 26 | 6% |
| Engineering | 6 | 1% |
| Other | 27 | 6% |
| Unknown | 48 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 29 July 2019.
All research outputs
#1,562,389
of 25,837,817 outputs
Outputs from Genome Biology
#1,257
of 4,506 outputs
Outputs of similar age
#5,069
of 106,839 outputs
Outputs of similar age from Genome Biology
#6
of 33 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 106,839 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.