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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accucopy: accurate and fast inference of allele-specific copy number alterations from low-coverage low-purity tumor sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, January 2021
|
| DOI | 10.1186/s12859-020-03924-5 |
| Pubmed ID | |
| Authors |
Xinping Fan, Guanghao Luo, Yu S. Huang |
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 % |
|---|---|---|
| United Kingdom | 2 | 20% |
| France | 1 | 10% |
| Sweden | 1 | 10% |
| India | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 31% |
| Student > Master | 2 | 13% |
| Professor | 1 | 6% |
| Librarian | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Chemical Engineering | 1 | 6% |
| Computer Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 February 2021.
All research outputs
#7,643,834
of 23,274,744 outputs
Outputs from BMC Bioinformatics
#3,070
of 7,369 outputs
Outputs of similar age
#203,975
of 537,299 outputs
Outputs of similar age from BMC Bioinformatics
#77
of 152 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,369 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 50% 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 537,299 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 57% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.