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X Demographics
Mendeley readers
Attention Score in Context
Title |
Assembly Processes under Severe Abiotic Filtering: Adaptation Mechanisms of Weed Vegetation to the Gradient of Soil Constraints
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Published in |
PLOS ONE, December 2014
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DOI | 10.1371/journal.pone.0114290 |
Pubmed ID | |
Authors |
Nina Nikolic, Reinhard Böcker, Ljiljana Kostic-Kravljanac, Miroslav Nikolic |
Abstract |
Effects of soil on vegetation patterns are commonly obscured by other environmental factors; clear and general relationships are difficult to find. How would community assembly processes be affected by a substantial change in soil characteristics when all other relevant factors are held constant? In particular, can we identify some functional adaptations which would underpin such soil-induced vegetation response? |
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 % |
---|---|---|
United Kingdom | 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 18% |
Student > Doctoral Student | 5 | 13% |
Student > Ph. D. Student | 5 | 13% |
Student > Master | 5 | 13% |
Researcher | 4 | 10% |
Other | 5 | 13% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 31% |
Environmental Science | 7 | 18% |
Medicine and Dentistry | 3 | 8% |
Engineering | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 4 | 10% |
Unknown | 10 | 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 07 December 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from PLOS ONE
#154,549
of 194,259 outputs
Outputs of similar age
#261,280
of 360,775 outputs
Outputs of similar age from PLOS ONE
#2,934
of 4,040 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,259 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% 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 360,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,040 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.