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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM
|
|---|---|
| Published in |
BMC Bioinformatics, March 2022
|
| DOI | 10.1186/s12859-022-04611-3 |
| Pubmed ID | |
| Authors |
Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
| Japan | 1 | 13% |
| Sweden | 1 | 13% |
| India | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 9% |
| Lecturer | 1 | 9% |
| Unknown | 9 | 82% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Unknown | 8 | 73% |
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 26 March 2022.
All research outputs
#7,010,915
of 23,419,482 outputs
Outputs from BMC Bioinformatics
#2,632
of 7,383 outputs
Outputs of similar age
#141,317
of 441,357 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 113 outputs
Altmetric has tracked 23,419,482 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,383 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 gotten more attention than average, scoring higher than 63% 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 441,357 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 67% of its contemporaries.
We're also able to compare this research output to 113 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 72% of its contemporaries.