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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SCELLECTOR: ranking amplification bias in single cells using shallow sequencing
|
|---|---|
| Published in |
BMC Bioinformatics, November 2020
|
| DOI | 10.1186/s12859-020-03858-y |
| Pubmed ID | |
| Authors |
Vivekananda Sarangi, Alexandre Jourdon, Taejeong Bae, Arijit Panda, Flora Vaccarino, Alexej Abyzov |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Austria | 1 | 17% |
| Sweden | 1 | 17% |
| India | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Bachelor | 1 | 8% |
| Researcher | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Computer Science | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Unknown | 6 | 50% |
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 01 December 2020.
All research outputs
#7,148,107
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,747
of 7,387 outputs
Outputs of similar age
#153,779
of 416,001 outputs
Outputs of similar age from BMC Bioinformatics
#73
of 165 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 68th percentile.
So far Altmetric has tracked 7,387 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 61% 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 416,001 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 62% of its contemporaries.
We're also able to compare this research output to 165 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 55% of its contemporaries.