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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models
|
|---|---|
| Published in |
BMC Genomics, November 2018
|
| DOI | 10.1186/s12864-018-5227-3 |
| Pubmed ID | |
| Authors |
Qi Zhao, Qian Mao, Zheng Zhao, Tongyi Dou, Zhiguo Wang, Xiaoyu Cui, Yuanning Liu, Xiaoya Fan |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 19 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 21% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Agricultural and Biological Sciences | 5 | 10% |
| Environmental Science | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 23 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 December 2019.
All research outputs
#18,657,639
of 23,114,117 outputs
Outputs from BMC Genomics
#8,227
of 10,708 outputs
Outputs of similar age
#325,991
of 437,588 outputs
Outputs of similar age from BMC Genomics
#147
of 223 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 437,588 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.