You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Significant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks
|
|---|---|
| Published in |
BMC Genomics, February 2019
|
| DOI | 10.1186/s12864-019-5528-1 |
| Pubmed ID | |
| Authors |
Bi Zhao, Bin Xue |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 25% |
| Researcher | 6 | 25% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Agricultural and Biological Sciences | 6 | 25% |
| Engineering | 4 | 17% |
| Computer Science | 3 | 13% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 3 | 13% |
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 03 April 2019.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from BMC Genomics
#8,894
of 11,367 outputs
Outputs of similar age
#287,533
of 370,394 outputs
Outputs of similar age from BMC Genomics
#169
of 217 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 11th percentile – i.e., 11% 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 370,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.