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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating Alpha, Beta, and Gamma Diversity Through Deep Learning
|
|---|---|
| Published in |
Frontiers in Plant Science, April 2022
|
| DOI | 10.3389/fpls.2022.839407 |
| Pubmed ID | |
| Authors |
Tobias Andermann, Alexandre Antonelli, Russell L. Barrett, Daniele Silvestro |
X Demographics
The data shown below were collected from the profiles of 39 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 | 6 | 15% |
| Sweden | 3 | 8% |
| Spain | 2 | 5% |
| Switzerland | 2 | 5% |
| Germany | 2 | 5% |
| Peru | 1 | 3% |
| Philippines | 1 | 3% |
| Chile | 1 | 3% |
| Australia | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 15 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 74% |
| Scientists | 8 | 21% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 13% |
| Researcher | 17 | 9% |
| Student > Ph. D. Student | 13 | 7% |
| Student > Master | 13 | 7% |
| Lecturer | 5 | 3% |
| Other | 26 | 13% |
| Unknown | 95 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 18% |
| Environmental Science | 25 | 13% |
| Biochemistry, Genetics and Molecular Biology | 12 | 6% |
| Unspecified | 5 | 3% |
| Earth and Planetary Sciences | 4 | 2% |
| Other | 16 | 8% |
| Unknown | 97 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 22 June 2022.
All research outputs
#1,662,947
of 25,494,370 outputs
Outputs from Frontiers in Plant Science
#564
of 24,760 outputs
Outputs of similar age
#38,861
of 446,296 outputs
Outputs of similar age from Frontiers in Plant Science
#26
of 1,210 outputs
Altmetric has tracked 25,494,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,760 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 446,296 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 91% of its contemporaries.
We're also able to compare this research output to 1,210 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 97% of its contemporaries.