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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Local Convolutional Neural Networks for Genomic Prediction
|
|---|---|
| Published in |
Frontiers in Genetics, November 2020
|
| DOI | 10.3389/fgene.2020.561497 |
| Pubmed ID | |
| Authors |
Torsten Pook, Jan Freudenthal, Arthur Korte, Henner Simianer |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 25% |
| Student > Ph. D. Student | 10 | 16% |
| Researcher | 8 | 13% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 42% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Computer Science | 6 | 9% |
| Business, Management and Accounting | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 December 2020.
All research outputs
#6,868,732
of 23,262,131 outputs
Outputs from Frontiers in Genetics
#2,076
of 12,290 outputs
Outputs of similar age
#145,987
of 415,391 outputs
Outputs of similar age from Frontiers in Genetics
#76
of 462 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 12,290 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 415,391 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 64% of its contemporaries.
We're also able to compare this research output to 462 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.