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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Constructing gene regulatory networks for long term photosynthetic light acclimation in Arabidopsis thaliana
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-335 |
| Pubmed ID | |
| Authors |
Cheng-Wei Yao, Ban-Dar Hsu, Bor-Sen Chen |
| Abstract |
Photosynthetic light acclimation is an important process that allows plants to optimize the efficiency of photosynthesis, which is the core technology for green energy. However, currently little is known about the molecular mechanisms behind the regulation of the photosynthetic light acclimation response. In this study, a systematic method is proposed to investigate this mechanism by constructing gene regulatory networks from microarray data of Arabidopsis thaliana. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Hungary | 1 | 2% |
| France | 1 | 2% |
| New Zealand | 1 | 2% |
| United Kingdom | 1 | 2% |
| China | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 43 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 27% |
| Student > Ph. D. Student | 12 | 24% |
| Student > Master | 9 | 18% |
| Student > Doctoral Student | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 61% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Computer Science | 4 | 8% |
| Mathematics | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 3 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 November 2011.
All research outputs
#13,352,626
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#4,186
of 7,234 outputs
Outputs of similar age
#77,886
of 120,757 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 74 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 120,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.