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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RNA-Seq Analysis of Cocos nucifera: Transcriptome Sequencing and De Novo Assembly for Subsequent Functional Genomics Approaches
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0059997 |
| Pubmed ID | |
| Authors |
Haikuo Fan, Yong Xiao, Yaodong Yang, Wei Xia, Annaliese S. Mason, Zhihui Xia, Fei Qiao, Songlin Zhao, Haoru Tang |
| Abstract |
Cocos nucifera (coconut), a member of the Arecaceae family, is an economically important woody palm grown in tropical regions. Despite its agronomic importance, previous germplasm assessment studies have relied solely on morphological and agronomical traits. Molecular biology techniques have been scarcely used in assessment of genetic resources and for improvement of important agronomic and quality traits in Cocos nucifera, mostly due to the absence of available sequence information. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| Uruguay | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Slovakia | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 125 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 23% |
| Student > Ph. D. Student | 27 | 20% |
| Student > Master | 23 | 17% |
| Professor > Associate Professor | 8 | 6% |
| Student > Doctoral Student | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 78 | 59% |
| Biochemistry, Genetics and Molecular Biology | 24 | 18% |
| Computer Science | 5 | 4% |
| Social Sciences | 2 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 18 | 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 29 March 2013.
All research outputs
#18,333,600
of 22,703,044 outputs
Outputs from PLOS ONE
#154,062
of 193,827 outputs
Outputs of similar age
#150,580
of 198,759 outputs
Outputs of similar age from PLOS ONE
#3,914
of 5,335 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,827 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 198,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,335 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.