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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Construction of a high-density genetic map for grape using next generation restriction-site associated DNA sequencing
|
|---|---|
| Published in |
BMC Plant Biology, August 2012
|
| DOI | 10.1186/1471-2229-12-148 |
| Pubmed ID | |
| Authors |
Nian Wang, Linchuan Fang, Haiping Xin, Lijun Wang, Shaohua Li |
| Abstract |
Genetic mapping and QTL detection are powerful methodologies in plant improvement and breeding. Construction of a high-density and high-quality genetic map would be of great benefit in the production of superior grapes to meet human demand. High throughput and low cost of the recently developed next generation sequencing (NGS) technology have resulted in its wide application in genome research. Sequencing restriction-site associated DNA (RAD) might be an efficient strategy to simplify genotyping. Combining NGS with RAD has proven to be powerful for single nucleotide polymorphism (SNP) marker development. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Colombia | 1 | <1% |
| Brazil | 1 | <1% |
| Uruguay | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 154 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 29% |
| Researcher | 42 | 26% |
| Student > Master | 28 | 17% |
| Student > Doctoral Student | 7 | 4% |
| Professor | 5 | 3% |
| Other | 18 | 11% |
| Unknown | 17 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 117 | 71% |
| Biochemistry, Genetics and Molecular Biology | 16 | 10% |
| Unspecified | 2 | 1% |
| Computer Science | 2 | 1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 21 | 13% |
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 14 September 2012.
All research outputs
#3,149,609
of 22,675,759 outputs
Outputs from BMC Plant Biology
#181
of 3,208 outputs
Outputs of similar age
#22,319
of 169,206 outputs
Outputs of similar age from BMC Plant Biology
#3
of 28 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,208 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 94% 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 169,206 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 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.