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Mendeley readers
Attention Score in Context
| Title |
A strand specific high resolution normalization method for chip-sequencing data employing multiple experimental control measurements
|
|---|---|
| Published in |
Algorithms for Molecular Biology, January 2012
|
| DOI | 10.1186/1748-7188-7-2 |
| Pubmed ID | |
| Authors |
Stefan Enroth, Claes R Andersson, Robin Andersson, Claes Wadelius, Mats G Gustafsson, Jan Komorowski |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 10% |
| United Kingdom | 3 | 6% |
| Sweden | 2 | 4% |
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Denmark | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 38 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 37% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Bachelor | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 9 | 17% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 58% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Computer Science | 3 | 6% |
| Mathematics | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 2 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 December 2017.
All research outputs
#4,761,657
of 23,041,514 outputs
Outputs from Algorithms for Molecular Biology
#42
of 264 outputs
Outputs of similar age
#41,972
of 247,108 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 4 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 82% 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 247,108 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them