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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepSort: deep convolutional networks for sorting haploid maize seeds
|
|---|---|
| Published in |
BMC Bioinformatics, August 2018
|
| DOI | 10.1186/s12859-018-2267-2 |
| Pubmed ID | |
| Authors |
Balaji Veeramani, John W. Raymond, Pritam Chanda |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 12% |
| Student > Ph. D. Student | 8 | 8% |
| Researcher | 7 | 7% |
| Other | 6 | 6% |
| Lecturer | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 50 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 19% |
| Agricultural and Biological Sciences | 15 | 14% |
| Engineering | 8 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 51 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 August 2023.
All research outputs
#4,715,116
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#1,742
of 7,400 outputs
Outputs of similar age
#88,647
of 331,745 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 88 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 331,745 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 73% of its contemporaries.
We're also able to compare this research output to 88 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 70% of its contemporaries.