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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Applications of High-Throughput Plant Phenotyping to Study Nutrient Use Efficiency
|
|---|---|
| Chapter number | 18 |
| Book title |
Plant Mineral Nutrients
|
| Published in |
Methods in molecular biology, October 2012
|
| DOI | 10.1007/978-1-62703-152-3_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-151-6, 978-1-62703-152-3
|
| Authors |
Berger, Bettina, de Regt, Bas, Tester, Mark, Bettina Berger, Bas de Regt, Mark Tester |
| Editors |
Frans J.M. Maathuis |
| Abstract |
Remote sensing and spectral reflectance measurements of plants has long been used to assess the growth and nutrient status of plants in a noninvasive manner. With improved imaging and computer technologies, these approaches can now be used at high-throughput for more extensive physiological and genetic studies. Here, we present an example of how high-throughput imaging can be used to study the growth of plants exposed to different nutrient levels. In addition, the color of the leaves can be used to estimate leaf chlorophyll and nitrogen status of the plant. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Researcher | 5 | 19% |
| Other | 2 | 8% |
| Student > Master | 2 | 8% |
| Professor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 54% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 9 | 35% |
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 19 March 2013.
All research outputs
#18,332,122
of 22,701,287 outputs
Outputs from Methods in molecular biology
#7,845
of 13,076 outputs
Outputs of similar age
#130,614
of 172,121 outputs
Outputs of similar age from Methods in molecular biology
#42
of 73 outputs
Altmetric has tracked 22,701,287 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 13,076 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 172,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.