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Mendeley readers
Attention Score in Context
| Title |
Effect of Heavy Metals Pollution on Soil Microbial Diversity and Bermudagrass Genetic Variation
|
|---|---|
| Published in |
Frontiers in Plant Science, May 2016
|
| DOI | 10.3389/fpls.2016.00755 |
| Pubmed ID | |
| Authors |
Yan Xie, Jibiao Fan, Weixi Zhu, Erick Amombo, Yanhong Lou, Liang Chen, Jinmin Fu |
| Abstract |
Heavy metal pollution is a serious global environmental problem as it adversely affects plant growth and genetic variation. It also alters the composition and activity of soil microbial communities. The objectives of this study were to determine the soil microbial diversity, bermudagrass genetic variation in Cd contaminated or uncontaminated soils from Hunan province of China, and to evaluate Cd-tolerance of bermudagrass at different soils. The Biolog method, hydroponic experiments and simple sequence repeat markers were used to assess the functional diversity of microorganisms, Cd-tolerance and the genetic diversity of bermudagrass, respectively. Four of the sampling sites were heavily contaminated with heavy metals. The total bioactivity, richness, and microbial diversity decreased with increasing concentration of heavy metal. The hydroponic experiment revealed that bermudagrass populations collected from polluted sites have evolved, encompassing the feature of a higher resistance to Cd toxicity. Higher genetic diversity was observed to be more in contaminated populations than in uncontaminated populations. Heavy metal pollution can result in adverse effects on plant growth, soil microbial diversity and activity, and apparently has a stronger impact on the genetic structure. The results of this study provide new insights and a background to produce a genetic description of populations in a species that is suitable for use in phytoremediation practices. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tunisia | 1 | 20% |
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | <1% |
| Unknown | 384 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 13% |
| Student > Master | 48 | 12% |
| Student > Bachelor | 39 | 10% |
| Researcher | 28 | 7% |
| Student > Doctoral Student | 19 | 5% |
| Other | 56 | 15% |
| Unknown | 145 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 21% |
| Environmental Science | 46 | 12% |
| Biochemistry, Genetics and Molecular Biology | 32 | 8% |
| Chemistry | 16 | 4% |
| Immunology and Microbiology | 8 | 2% |
| Other | 35 | 9% |
| Unknown | 166 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 09 January 2022.
All research outputs
#3,671,763
of 24,885,505 outputs
Outputs from Frontiers in Plant Science
#1,934
of 23,806 outputs
Outputs of similar age
#62,719
of 345,874 outputs
Outputs of similar age from Frontiers in Plant Science
#30
of 524 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,806 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 345,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 524 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.