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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design and evaluation of genome-wide libraries for RNA interference screens
|
|---|---|
| Published in |
Genome Biology, June 2010
|
| DOI | 10.1186/gb-2010-11-6-r61 |
| Pubmed ID | |
| Authors |
Thomas Horn, Thomas Sandmann, Michael Boutros |
| Abstract |
RNA interference (RNAi) screens have enabled the systematic analysis of many biological processes in cultured cells and whole organisms. The success of such screens and the interpretation of the data depend on the stringent design of RNAi libraries. We describe and validate NEXT-RNAi, a software for the automated design and evaluation of RNAi sequences on a genome-wide scale. NEXT-RNAi is implemented as open-source software and is accessible at http://www.nextrnai.org/. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Germany | 4 | 3% |
| United Kingdom | 3 | 2% |
| France | 2 | 1% |
| Uruguay | 1 | <1% |
| Portugal | 1 | <1% |
| Brazil | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 121 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 28% |
| Researcher | 39 | 28% |
| Student > Master | 12 | 9% |
| Student > Bachelor | 12 | 9% |
| Student > Doctoral Student | 7 | 5% |
| Other | 21 | 15% |
| Unknown | 10 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 55% |
| Biochemistry, Genetics and Molecular Biology | 35 | 25% |
| Computer Science | 6 | 4% |
| Neuroscience | 4 | 3% |
| Medicine and Dentistry | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 9 | 6% |
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 31 January 2017.
All research outputs
#7,960,052
of 25,374,647 outputs
Outputs from Genome Biology
#3,393
of 4,467 outputs
Outputs of similar age
#35,758
of 104,296 outputs
Outputs of similar age from Genome Biology
#26
of 35 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 104,296 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 64% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.