| Title |
A genome scale metabolic network for rice and accompanying analysis of tryptophan, auxin and serotonin biosynthesis regulation under biotic stress
|
|---|---|
| Published in |
Rice, May 2013
|
| DOI | 10.1186/1939-8433-6-15 |
| Pubmed ID | |
| Authors |
Palitha Dharmawardhana, Liya Ren, Vindhya Amarasinghe, Marcela Monaco, Jim Thomason, Dean Ravenscroft, Susan McCouch, Doreen Ware, Pankaj Jaiswal |
| Abstract |
Functional annotations of large plant genome projects mostly provide information on gene function and gene families based on the presence of protein domains and gene homology, but not necessarily in association with gene expression or metabolic and regulatory networks. These additional annotations are necessary to understand the physiology, development and adaptation of a plant and its interaction with the environment. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Bolivia, Plurinational State of | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Turkey | 1 | <1% |
| United Kingdom | 1 | <1% |
| Czechia | 1 | <1% |
| Singapore | 1 | <1% |
| Philippines | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 105 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 29% |
| Researcher | 17 | 15% |
| Student > Master | 16 | 14% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 18% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 58% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Computer Science | 5 | 4% |
| Engineering | 4 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 4 | 3% |
| Unknown | 17 | 15% |
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 06 September 2018.
All research outputs
#12,900,273
of 22,757,541 outputs
Outputs from Rice
#113
of 383 outputs
Outputs of similar age
#97,652
of 195,244 outputs
Outputs of similar age from Rice
#3
of 5 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 383 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 70% 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 195,244 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.