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Attention Score in Context
Title |
Use of diffusion magnetic resonance imaging to correlate the developmental changes in grape berry tissue structure with water diffusion patterns
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Published in |
Plant Methods, November 2014
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DOI | 10.1186/1746-4811-10-35 |
Pubmed ID | |
Authors |
Ryan J Dean, Timothy Stait-Gardner, Simon J Clarke, Suzy Y Rogiers, Gabriele Bobek, William S Price |
Abstract |
Over the course of grape berry development, the tissues of the berry undergo numerous morphological transformations in response to processes such as water and solute accumulation and cell division, growth and senescence. These transformations are expected to produce changes to the diffusion of water through these tissues detectable using diffusion magnetic resonance imaging (MRI). To assess this non-invasive technique diffusion was examined over the course of grape berry development, and in plant tissues with contrasting oil content. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 33% |
Australia | 1 | 8% |
China | 1 | 8% |
Germany | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 50% |
Scientists | 4 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 4% |
Unknown | 24 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 32% |
Student > Ph. D. Student | 4 | 16% |
Professor > Associate Professor | 2 | 8% |
Unspecified | 2 | 8% |
Other | 1 | 4% |
Other | 3 | 12% |
Unknown | 5 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 52% |
Engineering | 2 | 8% |
Mathematics | 1 | 4% |
Unspecified | 1 | 4% |
Physics and Astronomy | 1 | 4% |
Other | 1 | 4% |
Unknown | 6 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 14 November 2014.
All research outputs
#4,288,651
of 23,314,015 outputs
Outputs from Plant Methods
#246
of 1,104 outputs
Outputs of similar age
#49,447
of 263,611 outputs
Outputs of similar age from Plant Methods
#1
of 9 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 77% 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 263,611 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them