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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning
|
|---|---|
| Published in |
Remote Sensing, March 2023
|
| DOI | 10.3390/rs15051463 |
| Authors |
Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, Arthur Gessler, Verena C. Griess |
X Demographics
The data shown below were collected from the profiles of 253 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 11 | 4% |
| United States | 9 | 4% |
| Brazil | 9 | 4% |
| Switzerland | 7 | 3% |
| Spain | 6 | 2% |
| Germany | 6 | 2% |
| Canada | 5 | 2% |
| United Kingdom | 5 | 2% |
| Colombia | 5 | 2% |
| Other | 67 | 26% |
| Unknown | 123 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 196 | 77% |
| Scientists | 49 | 19% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 13% |
| Unspecified | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 47 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 15 | 16% |
| Unspecified | 7 | 8% |
| Earth and Planetary Sciences | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Engineering | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 50 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 175. 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 19 March 2024.
All research outputs
#235,387
of 25,738,558 outputs
Outputs from Remote Sensing
#19
of 13,646 outputs
Outputs of similar age
#5,901
of 427,107 outputs
Outputs of similar age from Remote Sensing
#1
of 466 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,646 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 427,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.