You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards
|
|---|---|
| Published in |
Plant Methods, October 2020
|
| DOI | 10.1186/s13007-020-00685-3 |
| Pubmed ID | |
| Authors |
Nele Bendel, Anna Kicherer, Andreas Backhaus, Hans-Christian Klück, Udo Seiffert, Michael Fischer, Ralf T. Voegele, Reinhard Töpfer |
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 % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Ph. D. Student | 7 | 13% |
| Unspecified | 3 | 6% |
| Professor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 20 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 21% |
| Engineering | 7 | 13% |
| Computer Science | 4 | 8% |
| Unspecified | 3 | 6% |
| Earth and Planetary Sciences | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 23 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 September 2021.
All research outputs
#14,227,276
of 23,253,955 outputs
Outputs from Plant Methods
#686
of 1,100 outputs
Outputs of similar age
#221,360
of 419,745 outputs
Outputs of similar age from Plant Methods
#19
of 32 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,100 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 35th percentile – i.e., 35% 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 419,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.