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Mendeley readers
Attention Score in Context
| Title |
Genome-wide identification of differentially expressed genes under water deficit stress in upland cotton (Gossypium hirsutum L.)
|
|---|---|
| Published in |
BMC Plant Biology, June 2012
|
| DOI | 10.1186/1471-2229-12-90 |
| Pubmed ID | |
| Authors |
Wonkeun Park, Brian E Scheffler, Philip J Bauer, B Todd Campbell |
| Abstract |
Cotton is the world's primary fiber crop and is a major agricultural commodity in over 30 countries. Like many other global commodities, sustainable cotton production is challenged by restricted natural resources. In response to the anticipated increase of agricultural water demand, a major research direction involves developing crops that use less water or that use water more efficiently. In this study, our objective was to identify differentially expressed genes in response to water deficit stress in cotton. A global expression analysis using cDNA-Amplified Fragment Length Polymorphism was conducted to compare root and leaf gene expression profiles from a putative drought resistant cotton cultivar grown under water deficit stressed and well watered field conditions. |
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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Philippines | 1 | 1% |
| China | 1 | 1% |
| Argentina | 1 | 1% |
| Unknown | 76 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 29% |
| Researcher | 15 | 19% |
| Student > Postgraduate | 6 | 8% |
| Student > Master | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Other | 17 | 22% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 62% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Unspecified | 2 | 3% |
| Environmental Science | 2 | 3% |
| Computer Science | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 12 | 15% |
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 27 August 2014.
All research outputs
#20,235,415
of 22,761,738 outputs
Outputs from BMC Plant Biology
#2,504
of 3,236 outputs
Outputs of similar age
#150,157
of 166,160 outputs
Outputs of similar age from BMC Plant Biology
#20
of 21 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,236 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 166,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.