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Mendeley readers
Attention Score in Context
| Title |
Regulating Subcellular Metal Homeostasis: The Key to Crop Improvement
|
|---|---|
| Published in |
Frontiers in Plant Science, August 2016
|
| DOI | 10.3389/fpls.2016.01192 |
| Pubmed ID | |
| Authors |
Khurram Bashir, Sultana Rasheed, Takanori Kobayashi, Motoaki Seki, Naoko K Nishizawa |
| Abstract |
Iron (Fe), zinc (Zn), manganese (Mn), and copper (Cu) are essential micronutrient mineral elements for living organisms, as they regulate essential cellular processes, such as chlorophyll synthesis and photosynthesis (Fe, Cu, and Mn), respiration (Fe and Cu), and transcription (Zn). The storage and distribution of these minerals in various cellular organelles is strictly regulated to ensure optimal metabolic rates. Alteration of the balance in uptake, distribution, and/or storage of these minerals severely impairs cellular metabolism and significantly affects plant growth and development. Thus, any change in the metal profile of a cellular compartment significantly affects metabolism. Different subcellular compartments are suggested to be linked through complex retrograde signaling networks to regulate cellular metal homeostasis. Various genes regulating cellular and subcellular metal distribution have been identified and characterized. Understanding the role of these transporters is extremely important to elaborate the signaling between various subcellular compartments. Moreover, modulation of the proteins involved in cellular metal homeostasis may help in the regulation of metabolism, adaptability to a diverse range of environmental conditions, and biofortification. Here, we review progress in the understanding of different subcellular metal transport components in plants and discuss the prospects of regulating cellular metabolism and strategies to develop biofortified crop plants. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 147 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 26% |
| Researcher | 23 | 15% |
| Student > Bachelor | 13 | 9% |
| Student > Doctoral Student | 10 | 7% |
| Student > Master | 9 | 6% |
| Other | 21 | 14% |
| Unknown | 36 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 46% |
| Biochemistry, Genetics and Molecular Biology | 26 | 17% |
| Environmental Science | 5 | 3% |
| Medicine and Dentistry | 4 | 3% |
| Mathematics | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 40 | 26% |
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 05 August 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from Frontiers in Plant Science
#16,162
of 20,270 outputs
Outputs of similar age
#321,923
of 366,897 outputs
Outputs of similar age from Frontiers in Plant Science
#368
of 477 outputs
Altmetric has tracked 22,881,964 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 20,270 research outputs from this source. They receive a mean Attention Score of 4.0. 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 366,897 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 477 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.