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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean
|
|---|---|
| Published in |
Frontiers in Genetics, November 2019
|
| DOI | 10.3389/fgene.2019.01091 |
| Pubmed ID | |
| Authors |
Yang Liu, Duolin Wang, Fei He, Juexin Wang, Trupti Joshi, Dong Xu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 184 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 18% |
| Student > Ph. D. Student | 33 | 18% |
| Researcher | 19 | 10% |
| Student > Bachelor | 15 | 8% |
| Professor > Associate Professor | 5 | 3% |
| Other | 17 | 9% |
| Unknown | 61 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 24% |
| Biochemistry, Genetics and Molecular Biology | 32 | 17% |
| Computer Science | 26 | 14% |
| Medicine and Dentistry | 3 | 2% |
| Nursing and Health Professions | 2 | 1% |
| Other | 11 | 6% |
| Unknown | 66 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 December 2019.
All research outputs
#14,125,761
of 23,079,238 outputs
Outputs from Frontiers in Genetics
#3,589
of 12,125 outputs
Outputs of similar age
#237,018
of 457,050 outputs
Outputs of similar age from Frontiers in Genetics
#134
of 346 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,125 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 67% 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 457,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.