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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel meta-analysis based on data augmentation and elastic data shared lasso regularization for gene expression
|
|---|---|
| Published in |
BMC Bioinformatics, August 2022
|
| DOI | 10.1186/s12859-022-04887-5 |
| Pubmed ID | |
| Authors |
Hai-Hui Huang, Hao Rao, Rui Miao, Yong Liang |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 15% |
| Korea, Republic of | 1 | 8% |
| Russia | 1 | 8% |
| Sweden | 1 | 8% |
| India | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 33% |
| Student > Ph. D. Student | 1 | 17% |
| Other | 1 | 17% |
| Lecturer | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Philosophy | 1 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Mathematics | 1 | 17% |
| Computer Science | 1 | 17% |
| Decision Sciences | 1 | 17% |
| Other | 0 | 0% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 August 2022.
All research outputs
#7,044,608
of 25,363,868 outputs
Outputs from BMC Bioinformatics
#2,495
of 7,692 outputs
Outputs of similar age
#126,659
of 414,750 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 146 outputs
Altmetric has tracked 25,363,868 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,692 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 66% 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 414,750 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 72% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.