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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of differentially expressed genes between sorghum genotypes with contrasting nitrogen stress tolerance by genome-wide transcriptional profiling
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-179 |
| Pubmed ID | |
| Authors |
Malleswari Gelli, Yongchao Duo, Anji Reddy Konda, Chi Zhang, David Holding, Ismail Dweikat |
| Abstract |
Sorghum is an important cereal crop, which requires large quantities of nitrogen fertilizer for achieving commercial yields. Identification of the genes responsible for low-N tolerance in sorghum will facilitate understanding of the molecular mechanisms of low-N tolerance, and also facilitate the genetic improvement of sorghum through marker-assisted selection or gene transformation. In this study we compared the transcriptomes of root tissues from seven sorghum genotypes having differential response to low-N stress. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Hungary | 1 | <1% |
| Unknown | 127 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 25% |
| Researcher | 25 | 19% |
| Student > Master | 15 | 12% |
| Student > Doctoral Student | 7 | 5% |
| Professor > Associate Professor | 5 | 4% |
| Other | 14 | 11% |
| Unknown | 32 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 78 | 60% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Computer Science | 2 | 2% |
| Unspecified | 1 | <1% |
| Chemical Engineering | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 33 | 25% |
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 18 October 2014.
All research outputs
#18,366,246
of 22,747,498 outputs
Outputs from BMC Genomics
#8,163
of 10,634 outputs
Outputs of similar age
#160,895
of 221,294 outputs
Outputs of similar age from BMC Genomics
#107
of 150 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,634 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 221,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.