| Title |
MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
|
|---|---|
| Published in |
Methods in Ecology and Evolution, August 2019
|
| DOI | 10.1111/2041-210x.13280 |
| Authors |
Tsung‐Yu Lin, Kevin Winner, Garrett Bernstein, Abhay Mittal, Adriaan M. Dokter, Kyle G. Horton, Cecilia Nilsson, Benjamin M. Van Doren, Andrew Farnsworth, Frank A. La Sorte, Subhransu Maji, Daniel Sheldon |
X Demographics
The data shown below were collected from the profiles of 101 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 | 23 | 23% |
| United Kingdom | 15 | 15% |
| Canada | 3 | 3% |
| Japan | 3 | 3% |
| Netherlands | 3 | 3% |
| Spain | 2 | 2% |
| Mexico | 2 | 2% |
| Sweden | 2 | 2% |
| Australia | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 43 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 57 | 56% |
| Scientists | 41 | 41% |
| Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 24% |
| Researcher | 15 | 15% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 6 | 6% |
| Other | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 27 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 37% |
| Environmental Science | 12 | 12% |
| Computer Science | 11 | 11% |
| Engineering | 4 | 4% |
| Linguistics | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 27 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 146. 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 28 February 2020.
All research outputs
#288,950
of 25,748,735 outputs
Outputs from Methods in Ecology and Evolution
#38
of 2,463 outputs
Outputs of similar age
#5,701
of 351,066 outputs
Outputs of similar age from Methods in Ecology and Evolution
#2
of 63 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,463 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.1. This one has done particularly well, scoring higher than 98% 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 351,066 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 63 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 96% of its contemporaries.