| Title |
De Novo Next Generation Sequencing of Plant Genomes
|
|---|---|
| Published in |
Rice, March 2009
|
| DOI | 10.1007/s12284-009-9025-z |
| Authors |
Steve Rounsley, Pradeep Reddy Marri, Yeisoo Yu, Ruifeng He, Nick Sisneros, Jose Luis Goicoechea, So Jeong Lee, Angelina Angelova, Dave Kudrna, Meizhong Luo, Jason Affourtit, Brian Desany, James Knight, Faheem Niazi, Michael Egholm, Rod A. Wing |
Mendeley readers
The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 7 | 3% |
| United States | 3 | 1% |
| Netherlands | 3 | 1% |
| United Kingdom | 3 | 1% |
| Indonesia | 2 | <1% |
| Norway | 2 | <1% |
| France | 2 | <1% |
| Philippines | 2 | <1% |
| Sweden | 2 | <1% |
| Other | 7 | 3% |
| Unknown | 168 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 66 | 33% |
| Student > Ph. D. Student | 51 | 25% |
| Student > Master | 18 | 9% |
| Professor > Associate Professor | 13 | 6% |
| Student > Doctoral Student | 10 | 5% |
| Other | 27 | 13% |
| Unknown | 16 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 149 | 74% |
| Biochemistry, Genetics and Molecular Biology | 15 | 7% |
| Computer Science | 11 | 5% |
| Unspecified | 1 | <1% |
| Linguistics | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 18 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 February 2022.
All research outputs
#8,239,130
of 24,682,395 outputs
Outputs from Rice
#107
of 412 outputs
Outputs of similar age
#35,801
of 100,381 outputs
Outputs of similar age from Rice
#1
of 1 outputs
Altmetric has tracked 24,682,395 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 412 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 69% 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 100,381 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them