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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Class similarity network for coding and long non-coding RNA classification
|
|---|---|
| Published in |
BMC Bioinformatics, December 2021
|
| DOI | 10.1186/s12859-021-04517-6 |
| Pubmed ID | |
| Authors |
Yu Zhang, Yahui Long, Chee Keong Kwoh |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 20% |
| Unspecified | 1 | 10% |
| Other | 1 | 10% |
| Lecturer > Senior Lecturer | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 40% |
| Veterinary Science and Veterinary Medicine | 1 | 10% |
| Unspecified | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 31 December 2021.
All research outputs
#3,915,087
of 22,788,370 outputs
Outputs from BMC Bioinformatics
#1,483
of 7,279 outputs
Outputs of similar age
#92,493
of 496,675 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 150 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,279 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 done well, scoring higher than 79% 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 496,675 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 150 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 66% of its contemporaries.