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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide analysis of the Hsf family in soybean and functional identification of GmHsf-34 involvement in drought and heat stresses
|
|---|---|
| Published in |
BMC Genomics, November 2014
|
| DOI | 10.1186/1471-2164-15-1009 |
| Pubmed ID | |
| Authors |
Pan-Song Li, Tai-Fei Yu, Guan-Hua He, Ming Chen, Yong-Bin Zhou, Shou-Cheng Chai, Zhao-Shi Xu, You-Zhi Ma |
| Abstract |
High temperature affects organism growth and metabolic activity. Heat shock transcription factors (Hsfs) are key regulators in heat shock response in eukaryotes and prokaryotes. Under high temperature conditions, Hsfs activate heat shock proteins (Hsps) by combining with heat stress elements (HSEs) in their promoters, leading to defense of heat stress. Since the first plant Hsf gene was identified in tomato, several plant Hsf family genes have been thoroughly characterized. Although soybean (Glycine max), an important oilseed crops, genome sequences have been available, the Hsf family genes in soybean have not been characterized accurately. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| Switzerland | 1 | 1% |
| Unknown | 93 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 27% |
| Researcher | 14 | 15% |
| Student > Bachelor | 8 | 8% |
| Student > Master | 7 | 7% |
| Student > Doctoral Student | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 47% |
| Biochemistry, Genetics and Molecular Biology | 18 | 19% |
| Engineering | 2 | 2% |
| Environmental Science | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 26 | 27% |
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 21 November 2014.
All research outputs
#20,243,777
of 22,771,140 outputs
Outputs from BMC Genomics
#9,266
of 10,641 outputs
Outputs of similar age
#302,869
of 361,837 outputs
Outputs of similar age from BMC Genomics
#227
of 257 outputs
Altmetric has tracked 22,771,140 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 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. 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 361,837 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 257 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.