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 |
Harnessing Deep Learning in Ecology: An Example Predicting Bark Beetle Outbreaks
|
|---|---|
| Published in |
Frontiers in Plant Science, October 2019
|
| DOI | 10.3389/fpls.2019.01327 |
| Pubmed ID | |
| Authors |
Werner Rammer, Rupert Seidl |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 19% |
| United States | 2 | 13% |
| Italy | 1 | 6% |
| Finland | 1 | 6% |
| Switzerland | 1 | 6% |
| Ecuador | 1 | 6% |
| Mexico | 1 | 6% |
| Czechia | 1 | 6% |
| Germany | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Student > Master | 19 | 14% |
| Researcher | 18 | 13% |
| Student > Doctoral Student | 10 | 7% |
| Student > Bachelor | 8 | 6% |
| Other | 20 | 14% |
| Unknown | 32 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 28% |
| Environmental Science | 33 | 24% |
| Earth and Planetary Sciences | 9 | 6% |
| Computer Science | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 11 | 8% |
| Unknown | 35 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 26 November 2022.
All research outputs
#3,909,572
of 26,017,215 outputs
Outputs from Frontiers in Plant Science
#2,053
of 24,955 outputs
Outputs of similar age
#78,122
of 380,719 outputs
Outputs of similar age from Frontiers in Plant Science
#64
of 492 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,955 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 91% 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 380,719 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 79% of its contemporaries.
We're also able to compare this research output to 492 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.