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Mendeley readers
Attention Score in Context
| Title |
Design of a tobacco exon array with application to investigate the differential cadmium accumulation property in two tobacco varieties
|
|---|---|
| Published in |
BMC Genomics, November 2012
|
| DOI | 10.1186/1471-2164-13-674 |
| Pubmed ID | |
| Authors |
Florian Martin, Lucien Bovet, Audrey Cordier, Mario Stanke, Irfan Gunduz, Manuel C Peitsch, Nikolai V Ivanov |
| Abstract |
For decades the tobacco plant has served as a model organism in plant biology to answer fundamental biological questions in the areas of plant development, physiology, and genetics. Due to the lack of sufficient coverage of genomic sequences, however, none of the expressed sequence tag (EST)-based chips developed to date cover gene expression from the whole genome. The availability of Tobacco Genome Initiative (TGI) sequences provides a useful resource to build a whole genome exon array, even if the assembled sequences are highly fragmented. Here, the design of a Tobacco Exon Array is reported and an application to improve the understanding of genes regulated by cadmium (Cd) in tobacco is described. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 23% |
| Professor > Associate Professor | 3 | 14% |
| Student > Master | 3 | 14% |
| Professor | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 36% |
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Engineering | 3 | 14% |
| Medicine and Dentistry | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 23% |
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 21 January 2016.
All research outputs
#7,419,815
of 22,687,320 outputs
Outputs from BMC Genomics
#3,583
of 10,616 outputs
Outputs of similar age
#82,034
of 277,211 outputs
Outputs of similar age from BMC Genomics
#152
of 372 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,616 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 59% 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 277,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 372 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 55% of its contemporaries.