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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unraveling the genetic architecture of subtropical maize (Zea maysL.) lines to assess their utility in breeding programs
|
|---|---|
| Published in |
BMC Genomics, December 2013
|
| DOI | 10.1186/1471-2164-14-877 |
| Pubmed ID | |
| Authors |
Nepolean Thirunavukkarasu, Firoz Hossain, Kaliyugam Shiriga, Swati Mittal, Kanika Arora, Abhishek Rathore, Sweta Mohan, Trushar Shah, Rinku Sharma, Pottekatt Mohanlal Namratha, Amitha SV Mithra, Trilochan Mohapatra, Hari Shankar Gupta |
| Abstract |
Maize is an increasingly important food crop in southeast Asia. The elucidation of its genetic architecture, accomplished by exploring quantitative trait loci and useful alleles in various lines across numerous breeding programs, is therefore of great interest. The present study aimed to characterize subtropical maize lines using high-quality SNPs distributed throughout the genome. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Researcher | 12 | 25% |
| Student > Postgraduate | 3 | 6% |
| Student > Master | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 69% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Environmental Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 June 2015.
All research outputs
#8,261,756
of 25,373,627 outputs
Outputs from BMC Genomics
#3,703
of 11,244 outputs
Outputs of similar age
#92,910
of 320,434 outputs
Outputs of similar age from BMC Genomics
#69
of 209 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 320,434 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.