| Title |
Enhancing genome assemblies by integrating non-sequence based data
|
|---|---|
| Published in |
BMC Proceedings, April 2011
|
| DOI | 10.1186/1753-6561-5-s2-s7 |
| Pubmed ID | |
| Authors |
Thomas N Heider, James Lindsay, Chenwei Wang, Rachel J O’Neill, Andrew J Pask |
| Abstract |
Many genome projects were underway before the advent of high-throughput sequencing and have thus been supported by a wealth of genome information from other technologies. Such information frequently takes the form of linkage and physical maps, both of which can provide a substantial amount of data useful in de novo sequencing projects. Furthermore, the recent abundance of genome resources enables the use of conserved synteny maps identified in related species to further enhance genome assemblies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| France | 1 | 5% |
| Norway | 1 | 5% |
| Unknown | 18 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Student > Ph. D. Student | 4 | 19% |
| Student > Master | 3 | 14% |
| Student > Bachelor | 1 | 5% |
| Professor | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 57% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Computer Science | 1 | 5% |
| Social Sciences | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 14% |
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 31 August 2011.
All research outputs
#15,234,609
of 22,651,245 outputs
Outputs from BMC Proceedings
#209
of 374 outputs
Outputs of similar age
#84,522
of 109,907 outputs
Outputs of similar age from BMC Proceedings
#7
of 12 outputs
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