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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PCirc: random forest-based plant circRNA identification software
|
|---|---|
| Published in |
BMC Bioinformatics, January 2021
|
| DOI | 10.1186/s12859-020-03944-1 |
| Pubmed ID | |
| Authors |
Shuwei Yin, Xiao Tian, Jingjing Zhang, Peisen Sun, Guanglin Li |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 10% |
| India | 1 | 10% |
| Sweden | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 19% |
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 4 | 10% |
| Other | 3 | 7% |
| Unspecified | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 21% |
| Agricultural and Biological Sciences | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Engineering | 4 | 10% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 29% |
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 15 January 2021.
All research outputs
#6,390,404
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#2,380
of 7,418 outputs
Outputs of similar age
#155,215
of 505,310 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 141 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,418 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 67% 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 505,310 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 69% of its contemporaries.
We're also able to compare this research output to 141 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 64% of its contemporaries.