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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A cross-species transcriptomics approach to identify genes involved in leaf development
|
|---|---|
| Published in |
BMC Genomics, December 2008
|
| DOI | 10.1186/1471-2164-9-589 |
| Pubmed ID | |
| Authors |
Nathaniel Robert Street, Andreas Sjödin, Max Bylesjö, Petter Gustafsson, Johan Trygg, Stefan Jansson |
| Abstract |
We have made use of publicly available gene expression data to identify transcription factors and transcriptional modules (regulons) associated with leaf development in Populus. Different tissue types were compared to identify genes informative in the discrimination of leaf and non-leaf tissues. Transcriptional modules within this set of genes were identified in a much wider set of microarray data collected from leaves in a number of developmental, biotic, abiotic and transgenic experiments. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| Colombia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Japan | 2 | 2% |
| Sweden | 2 | 2% |
| Netherlands | 1 | 1% |
| Norway | 1 | 1% |
| South Africa | 1 | 1% |
| Israel | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 78 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 28% |
| Researcher | 25 | 27% |
| Professor > Associate Professor | 14 | 15% |
| Student > Master | 5 | 5% |
| Professor | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 73% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Environmental Science | 2 | 2% |
| Engineering | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 10 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 January 2014.
All research outputs
#6,378,772
of 22,663,969 outputs
Outputs from BMC Genomics
#2,865
of 10,613 outputs
Outputs of similar age
#39,941
of 164,629 outputs
Outputs of similar age from BMC Genomics
#52
of 127 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,613 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 71% 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 164,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 127 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 58% of its contemporaries.