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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasets
|
|---|---|
| Published in |
BMC Bioinformatics, September 2016
|
| DOI | 10.1186/s12859-016-1212-5 |
| Pubmed ID | |
| Authors |
Yalchin Oytam, Fariborz Sobhanmanesh, Konsta Duesing, Joshua C. Bowden, Megan Osmond-McLeod, Jason Ross |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Curaçao | 1 | 33% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 27% |
| Student > Ph. D. Student | 17 | 22% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 34% |
| Medicine and Dentistry | 6 | 8% |
| Agricultural and Biological Sciences | 6 | 8% |
| Computer Science | 6 | 8% |
| Engineering | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 April 2018.
All research outputs
#4,273,125
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#1,402
of 7,793 outputs
Outputs of similar age
#66,521
of 351,447 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 136 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 81% 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 351,447 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.