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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Conifer: clonal tree inference for tumor heterogeneity with single-cell and bulk sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, August 2021
|
| DOI | 10.1186/s12859-021-04338-7 |
| Pubmed ID | |
| Authors |
Leila Baghaarabani, Sama Goliaei, Mohammad-Hadi Foroughmand-Araabi, Seyed Peyman Shariatpanahi, Bahram Goliaei |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Italy | 1 | 25% |
| Sweden | 1 | 25% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 23% |
| Student > Ph. D. Student | 2 | 15% |
| Professor | 1 | 8% |
| Researcher | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Unspecified | 1 | 8% |
| Chemical Engineering | 1 | 8% |
| Sports and Recreations | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 September 2021.
All research outputs
#6,461,903
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,451
of 7,388 outputs
Outputs of similar age
#129,178
of 429,562 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 124 outputs
Altmetric has tracked 23,344,526 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 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 66% 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 429,562 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 124 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 56% of its contemporaries.