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Mendeley readers
Attention Score in Context
| Title |
Diel leaf growth of soybean: a novel method to analyze two-dimensional leaf expansion in high temporal resolution based on a marker tracking approach (Martrack Leaf)
|
|---|---|
| Published in |
Plant Methods, July 2013
|
| DOI | 10.1186/1746-4811-9-30 |
| Pubmed ID | |
| Authors |
Michael Mielewczik, Michael Friedli, Norbert Kirchgessner, Achim Walter |
| Abstract |
We present a novel method for quantitative analysis of dicot leaf expansion at high temporal resolution. Image sequences of growing leaves were assessed using a marker tracking algorithm. An important feature of the method is the attachment of dark beads that serve as artificial landmarks to the leaf margin. The beads are mechanically constricted to the focal plane of a camera. Leaf expansion is approximated by the increase in area of the polygon defined by the centers of mass of the beads surrounding the leaf. Fluctuating illumination conditions often pose serious problems for tracking natural structures of a leaf; this problem is circumvented here by the use of the beads. |
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 % |
|---|---|---|
| United Kingdom | 3 | 60% |
| Norway | 1 | 20% |
| Peru | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 3 | 5% |
| Germany | 1 | 2% |
| India | 1 | 2% |
| France | 1 | 2% |
| Paraguay | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 48 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 27% |
| Student > Master | 12 | 21% |
| Student > Ph. D. Student | 10 | 18% |
| Professor | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 55% |
| Engineering | 4 | 7% |
| Computer Science | 3 | 5% |
| Environmental Science | 2 | 4% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 June 2014.
All research outputs
#13,154,684
of 22,715,151 outputs
Outputs from Plant Methods
#607
of 1,075 outputs
Outputs of similar age
#102,283
of 198,058 outputs
Outputs of similar age from Plant Methods
#6
of 10 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,075 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 43rd percentile – i.e., 43% 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 198,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.