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X Demographics
Mendeley readers
Attention Score in Context
| Title |
G4Boost: a machine learning-based tool for quadruplex identification and stability prediction
|
|---|---|
| Published in |
BMC Bioinformatics, June 2022
|
| DOI | 10.1186/s12859-022-04782-z |
| Pubmed ID | |
| Authors |
H. Busra Cagirici, Hikmet Budak, Taner Z. Sen |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 1 | 20% |
| Germany | 1 | 20% |
| India | 1 | 20% |
| Sweden | 1 | 20% |
| United Kingdom | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Bachelor | 5 | 17% |
| Student > Ph. D. Student | 3 | 10% |
| Professor | 2 | 7% |
| Unspecified | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 33% |
| Computer Science | 5 | 17% |
| Engineering | 2 | 7% |
| Chemistry | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 10 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 June 2022.
All research outputs
#15,083,298
of 23,953,397 outputs
Outputs from BMC Bioinformatics
#4,849
of 7,489 outputs
Outputs of similar age
#214,218
of 429,300 outputs
Outputs of similar age from BMC Bioinformatics
#105
of 154 outputs
Altmetric has tracked 23,953,397 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,489 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 429,300 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.