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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of mate pair sequences to improve shotgun assemblies of flow-sorted chromosome arms of hexaploid wheat
|
|---|---|
| Published in |
BMC Genomics, April 2013
|
| DOI | 10.1186/1471-2164-14-222 |
| Pubmed ID | |
| Authors |
Tatiana Belova, Bujie Zhan, Jonathan Wright, Mario Caccamo, Torben Asp, Hana Šimková, Matthew Kent, Christian Bendixen, Frank Panitz, Sigbjørn Lien, Jaroslav Doležel, Odd-Arne Olsen, Simen R Sandve |
| Abstract |
The assembly of the bread wheat genome sequence is challenging due to allohexaploidy and extreme repeat content (>80%). Isolation of single chromosome arms by flow sorting can be used to overcome the polyploidy problem, but the repeat content cause extreme assembly fragmentation even at a single chromosome level. Long jump paired sequencing data (mate pairs) can help reduce assembly fragmentation by joining multiple contigs into single scaffolds. The aim of this work was to assess how mate pair data generated from multiple displacement amplified DNA of flow-sorted chromosomes affect assembly fragmentation of shotgun assemblies of the wheat chromosomes. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Germany | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 4% |
| United States | 1 | 2% |
| France | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 52 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 37% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 61% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Computer Science | 2 | 4% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 April 2013.
All research outputs
#13,380,993
of 22,703,044 outputs
Outputs from BMC Genomics
#4,978
of 10,624 outputs
Outputs of similar age
#106,779
of 199,687 outputs
Outputs of similar age from BMC Genomics
#58
of 123 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 199,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.