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High throughput RNA sequencing of a hybrid maize and its parents shows different mechanisms responsive to nitrogen limitation

Overview of attention for article published in BMC Genomics, January 2014
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Title
High throughput RNA sequencing of a hybrid maize and its parents shows different mechanisms responsive to nitrogen limitation
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-77
Pubmed ID
Authors

Yong-Mei Bi, Ann Meyer, Gregory S Downs, Xuejiang Shi, Ashraf El-kereamy, Lewis Lukens, Steven J Rothstein

Abstract

Development of crop varieties with high nitrogen use efficiency (NUE) is crucial for minimizing N loss, reducing environmental pollution and decreasing input cost. Maize is one of the most important crops cultivated worldwide and its productivity is closely linked to the amount of fertilizer used. A survey of the transcriptomes of shoot and root tissues of a maize hybrid line and its two parental inbred lines grown under sufficient and limiting N conditions by mRNA-Seq has been conducted to have a better understanding of how different maize genotypes respond to N limitation.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
India 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Ph. D. Student 11 24%
Student > Bachelor 4 9%
Student > Master 4 9%
Other 3 7%
Other 8 17%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 72%
Biochemistry, Genetics and Molecular Biology 3 7%
Business, Management and Accounting 1 2%
Earth and Planetary Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 7 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 30 August 2014.
All research outputs
#9,880,937
of 12,378,406 outputs
Outputs from BMC Genomics
#5,640
of 7,251 outputs
Outputs of similar age
#152,944
of 226,516 outputs
Outputs of similar age from BMC Genomics
#189
of 247 outputs
Altmetric has tracked 12,378,406 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 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. 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 226,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.