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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel mesh processing based technique for 3D plant analysis
|
|---|---|
| Published in |
BMC Plant Biology, May 2012
|
| DOI | 10.1186/1471-2229-12-63 |
| Pubmed ID | |
| Authors |
Anthony Paproki, Xavier Sirault, Scott Berry, Robert Furbank, Jurgen Fripp |
| Abstract |
In recent years, imaging based, automated, non-invasive, and non-destructive high-throughput plant phenotyping platforms have become popular tools for plant biology, underpinning the field of plant phenomics. Such platforms acquire and record large amounts of raw data that must be accurately and robustly calibrated, reconstructed, and analysed, requiring the development of sophisticated image understanding and quantification algorithms. The raw data can be processed in different ways, and the past few years have seen the emergence of two main approaches: 2D image processing and 3D mesh processing algorithms. Direct image quantification methods (usually 2D) dominate the current literature due to comparative simplicity. However, 3D mesh analysis provides the tremendous potential to accurately estimate specific morphological features cross-sectionally and monitor them over-time. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Belgium | 3 | 1% |
| Germany | 2 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Australia | 1 | <1% |
| Switzerland | 1 | <1% |
| New Zealand | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 196 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 23% |
| Student > Ph. D. Student | 43 | 20% |
| Student > Master | 22 | 10% |
| Professor > Associate Professor | 14 | 7% |
| Student > Doctoral Student | 13 | 6% |
| Other | 31 | 15% |
| Unknown | 40 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 45% |
| Computer Science | 32 | 15% |
| Engineering | 10 | 5% |
| Environmental Science | 5 | 2% |
| Social Sciences | 3 | 1% |
| Other | 14 | 7% |
| Unknown | 52 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 17 August 2016.
All research outputs
#6,469,170
of 25,800,372 outputs
Outputs from BMC Plant Biology
#444
of 3,621 outputs
Outputs of similar age
#42,327
of 176,662 outputs
Outputs of similar age from BMC Plant Biology
#6
of 24 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,621 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 87% 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 176,662 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 75% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.