| Title |
A spatio temporal spectral framework for plant stress phenotyping
|
|---|---|
| Published in |
Plant Methods, February 2019
|
| DOI | 10.1186/s13007-019-0398-8 |
| Pubmed ID | |
| Authors |
Raghav Khanna, Lukas Schmid, Achim Walter, Juan Nieto, Roland Siegwart, Frank Liebisch |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 11% |
| Spain | 1 | 11% |
| India | 1 | 11% |
| Pakistan | 1 | 11% |
| United States | 1 | 11% |
| Germany | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 20% |
| Student > Ph. D. Student | 23 | 19% |
| Student > Master | 18 | 15% |
| Student > Bachelor | 12 | 10% |
| Lecturer | 4 | 3% |
| Other | 14 | 11% |
| Unknown | 28 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 33% |
| Engineering | 12 | 10% |
| Computer Science | 11 | 9% |
| Environmental Science | 6 | 5% |
| Earth and Planetary Sciences | 4 | 3% |
| Other | 14 | 11% |
| Unknown | 36 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 February 2019.
All research outputs
#6,094,131
of 23,128,387 outputs
Outputs from Plant Methods
#349
of 1,095 outputs
Outputs of similar age
#127,316
of 437,541 outputs
Outputs of similar age from Plant Methods
#9
of 30 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,095 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 gotten more attention than average, scoring higher than 67% 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 437,541 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.