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Mendeley readers
Attention Score in Context
Title |
Maize and millet transcription factors annotated using comparative genomic and transcriptomic data
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Published in |
BMC Genomics, September 2014
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DOI | 10.1186/1471-2164-15-818 |
Pubmed ID | |
Authors |
Jinn-Jy Lin, Chun-Ping Yu, Yao-Ming Chang, Sean Chun-Chang Chen, Wen-Hsiung Li |
Abstract |
Transcription factors (TFs) contain DNA-binding domains (DBDs) and regulate gene expression by binding to specific DNA sequences. In addition, there are proteins, called transcription coregulators (TCs), which lack DBDs but can alter gene expression through interaction with TFs or RNA Polymerase II. Therefore, it is interesting to identify and classify the TFs and TCs in a genome. In this study, maize (Zea mays) and foxtail millet (Setaria italica), two important species for the study of C4 photosynthesis and kranz anatomy, were selected. |
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 % |
---|---|---|
France | 1 | 33% |
Unknown | 2 | 67% |
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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 2% |
Unknown | 44 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 29% |
Researcher | 8 | 18% |
Student > Master | 4 | 9% |
Professor | 4 | 9% |
Student > Bachelor | 2 | 4% |
Other | 9 | 20% |
Unknown | 5 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 56% |
Biochemistry, Genetics and Molecular Biology | 9 | 20% |
Engineering | 2 | 4% |
Computer Science | 2 | 4% |
Unspecified | 1 | 2% |
Other | 0 | 0% |
Unknown | 6 | 13% |
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 28 September 2014.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#158,199
of 263,749 outputs
Outputs of similar age from BMC Genomics
#175
of 280 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 263,749 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.