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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simultaneous analysis of large-scale RNAi screens for pathogen entry
|
|---|---|
| Published in |
BMC Genomics, December 2014
|
| DOI | 10.1186/1471-2164-15-1162 |
| Pubmed ID | |
| Authors |
Pauli Rämö, Anna Drewek, Cécile Arrieumerlou, Niko Beerenwinkel, Houchaima Ben-Tekaya, Bettina Cardel, Alain Casanova, Raquel Conde-Alvarez, Pascale Cossart, Gábor Csúcs, Simone Eicher, Mario Emmenlauer, Urs Greber, Wolf-Dietrich Hardt, Ari Helenius, Christoph Kasper, Andreas Kaufmann, Saskia Kreibich, Andreas Kühbacher, Peter Kunszt, Shyan Huey Low, Jason Mercer, Daria Mudrak, Simone Muntwiler, Lucas Pelkmans, Javier Pizarro-Cerdá, Michael Podvinec, Eva Pujadas, Bernd Rinn, Vincent Rouilly, Fabian Schmich, Juliane Siebourg-Polster, Berend Snijder, Michael Stebler, Gabriel Studer, Ewa Szczurek, Matthias Truttmann, Christian von Mering, Andreas Vonderheit, Artur Yakimovich, Peter Bühlmann, Christoph Dehio |
| Abstract |
Large-scale RNAi screening has become an important technology for identifying genes involved in biological processes of interest. However, the quality of large-scale RNAi screening is often deteriorated by off-targets effects. In order to find statistically significant effector genes for pathogen entry, we systematically analyzed entry pathways in human host cells for eight pathogens using image-based kinome-wide siRNA screens with siRNAs from three vendors. We propose a Parallel Mixed Model (PMM) approach that simultaneously analyzes several non-identical screens performed with the same RNAi libraries. |
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 % |
|---|---|---|
| France | 1 | 33% |
| Ireland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Researcher | 8 | 22% |
| Student > Master | 5 | 14% |
| Professor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 1 | 3% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 25% |
| Agricultural and Biological Sciences | 7 | 19% |
| Computer Science | 3 | 8% |
| Immunology and Microbiology | 3 | 8% |
| Mathematics | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 07 January 2015.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Genomics
#6,304
of 10,793 outputs
Outputs of similar age
#203,944
of 358,199 outputs
Outputs of similar age from BMC Genomics
#137
of 247 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 358,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.