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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GPTransformer: A Transformer-Based Deep Learning Method for Predicting Fusarium Related Traits in Barley
|
|---|---|
| Published in |
Frontiers in Plant Science, December 2021
|
| DOI | 10.3389/fpls.2021.761402 |
| Pubmed ID | |
| Authors |
Sheikh Jubair, James R Tucker, Nathan Henderson, Colin W Hiebert, Ana Badea, Michael Domaratzki, W G Dilantha Fernando |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| United Kingdom | 1 | 20% |
| Canada | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 18% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Master | 1 | 5% |
| Unknown | 12 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 14% |
| Agricultural and Biological Sciences | 3 | 14% |
| Engineering | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unknown | 13 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 January 2022.
All research outputs
#12,736,600
of 22,818,766 outputs
Outputs from Frontiers in Plant Science
#5,185
of 20,116 outputs
Outputs of similar age
#184,913
of 499,655 outputs
Outputs of similar age from Frontiers in Plant Science
#174
of 942 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,116 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 73% 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 499,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 942 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.