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Attention Score in Context
| Title |
A new RNASeq-based reference transcriptome for sugar beet and its application in transcriptome-scale analysis of vernalization and gibberellin responses
|
|---|---|
| Published in |
BMC Genomics, March 2012
|
| DOI | 10.1186/1471-2164-13-99 |
| Pubmed ID | |
| Authors |
Effie S Mutasa-Göttgens, Anagha Joshi, Helen F Holmes, Peter Hedden, Berthold Göttgens |
| Abstract |
Sugar beet (Beta vulgaris sp. vulgaris) crops account for about 30% of world sugar. Sugar yield is compromised by reproductive growth hence crops must remain vegetative until harvest. Prolonged exposure to cold temperature (vernalization) in the range 6 °C to 12 °C induces reproductive growth, leading to bolting (rapid elongation of the main stem) and flowering. Spring cultivation of crops in cool temperate climates makes them vulnerable to vernalization and hence bolting, which is initiated in the apical shoot meristem in processes involving interaction between gibberellin (GA) hormones and vernalization. The underlying mechanisms are unknown and genome scale next generation sequencing approaches now offer comprehensive strategies to investigate them; enabling the identification of novel targets for bolting control in sugar beet crops. In this study, we demonstrate the application of an mRNA-Seq based strategy for this purpose. |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| Italy | 2 | 1% |
| Colombia | 1 | <1% |
| Netherlands | 1 | <1% |
| Portugal | 1 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 127 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 24% |
| Student > Ph. D. Student | 32 | 23% |
| Student > Master | 18 | 13% |
| Professor > Associate Professor | 13 | 9% |
| Student > Doctoral Student | 10 | 7% |
| Other | 22 | 16% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 103 | 73% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Environmental Science | 3 | 2% |
| Computer Science | 3 | 2% |
| Medicine and Dentistry | 3 | 2% |
| Other | 4 | 3% |
| Unknown | 17 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 March 2013.
All research outputs
#3,313,938
of 25,374,917 outputs
Outputs from BMC Genomics
#1,117
of 11,244 outputs
Outputs of similar age
#20,225
of 171,742 outputs
Outputs of similar age from BMC Genomics
#8
of 79 outputs
Altmetric has tracked 25,374,917 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 171,742 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 88% of its contemporaries.
We're also able to compare this research output to 79 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.