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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolic and co-expression network-based analyses associated with nitrate response in rice
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1056 |
| Pubmed ID | |
| Authors |
Viktoriya Coneva, Caitlin Simopoulos, José A Casaretto, Ashraf El-kereamy, David R Guevara, Jonathan Cohn, Tong Zhu, Lining Guo, Danny C Alexander, Yong-Mei Bi, Paul D McNicholas, Steven J Rothstein |
| Abstract |
Understanding gene expression and metabolic re-programming that occur in response to limiting nitrogen (N) conditions in crop plants is crucial for the ongoing progress towards the development of varieties with improved nitrogen use efficiency (NUE). To unravel new details on the molecular and metabolic responses to N availability in a major food crop, we conducted analyses on a weighted gene co-expression network and metabolic profile data obtained from leaves and roots of rice plants adapted to sufficient and limiting N as well as after shifting them to limiting (reduction) and sufficient (induction) N conditions. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 74 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 24% |
| Researcher | 13 | 17% |
| Professor > Associate Professor | 9 | 12% |
| Other | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 13 | 17% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 62% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Decision Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 13 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 July 2015.
All research outputs
#17,733,724
of 22,772,779 outputs
Outputs from BMC Genomics
#7,555
of 10,641 outputs
Outputs of similar age
#247,386
of 360,895 outputs
Outputs of similar age from BMC Genomics
#161
of 227 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 360,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.