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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis and correction of compositional bias in sparse sequencing count data
|
|---|---|
| Published in |
BMC Genomics, November 2018
|
| DOI | 10.1186/s12864-018-5160-5 |
| Pubmed ID | |
| Authors |
M. Senthil Kumar, Eric V. Slud, Kwame Okrah, Stephanie C. Hicks, Sridhar Hannenhalli, Héctor Corrada Bravo |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 13% |
| United Kingdom | 1 | 13% |
| United States | 1 | 13% |
| Italy | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 162 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 22% |
| Student > Ph. D. Student | 35 | 21% |
| Student > Master | 23 | 14% |
| Student > Bachelor | 15 | 9% |
| Student > Doctoral Student | 9 | 6% |
| Other | 23 | 14% |
| Unknown | 22 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 28% |
| Biochemistry, Genetics and Molecular Biology | 29 | 18% |
| Immunology and Microbiology | 10 | 6% |
| Mathematics | 9 | 6% |
| Computer Science | 8 | 5% |
| Other | 35 | 21% |
| Unknown | 27 | 17% |
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 April 2019.
All research outputs
#6,811,503
of 24,406,515 outputs
Outputs from BMC Genomics
#2,838
of 10,975 outputs
Outputs of similar age
#118,623
of 356,914 outputs
Outputs of similar age from BMC Genomics
#50
of 213 outputs
Altmetric has tracked 24,406,515 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 10,975 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% 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 356,914 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 66% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.