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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
|
|---|---|
| Published in |
BMC Bioinformatics, April 2021
|
| DOI | 10.1186/s12859-021-04135-2 |
| Pubmed ID | |
| Authors |
Dayun Liu, Yibiao Huang, Wenjuan Nie, Jiaxuan Zhang, Lei Deng |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 14% |
| Sweden | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Student > Master | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 15 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 21% |
| Engineering | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 14 | 48% |
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 29 April 2021.
All research outputs
#7,148,744
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,747
of 7,388 outputs
Outputs of similar age
#155,908
of 437,756 outputs
Outputs of similar age from BMC Bioinformatics
#79
of 193 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 61% 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 437,756 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 63% of its contemporaries.
We're also able to compare this research output to 193 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 57% of its contemporaries.