| Title |
High-throughput RNA interference screening using pooled shRNA libraries and next generation sequencing
|
|---|---|
| Published in |
Genome Biology, October 2011
|
| DOI | 10.1186/gb-2011-12-10-r104 |
| Pubmed ID | |
| Authors |
David Sims, Ana M Mendes-Pereira, Jessica Frankum, Darren Burgess, Maria-Antonietta Cerone, Cristina Lombardelli, Costas Mitsopoulos, Jarle Hakas, Nirupa Murugaesu, Clare M Isacke, Kerry Fenwick, Ioannis Assiotis, Iwanka Kozarewa, Marketa Zvelebil, Alan Ashworth, Christopher J Lord |
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 % |
|---|---|---|
| India | 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 412 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| United Kingdom | 5 | 1% |
| Germany | 4 | <1% |
| Italy | 3 | <1% |
| China | 2 | <1% |
| Japan | 2 | <1% |
| Denmark | 2 | <1% |
| Spain | 2 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 378 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 130 | 32% |
| Student > Ph. D. Student | 110 | 27% |
| Student > Master | 33 | 8% |
| Student > Bachelor | 28 | 7% |
| Student > Doctoral Student | 20 | 5% |
| Other | 57 | 14% |
| Unknown | 34 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 206 | 50% |
| Biochemistry, Genetics and Molecular Biology | 97 | 24% |
| Medicine and Dentistry | 28 | 7% |
| Computer Science | 12 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 2% |
| Other | 24 | 6% |
| Unknown | 38 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 14 November 2023.
All research outputs
#3,339,344
of 25,837,817 outputs
Outputs from Genome Biology
#2,396
of 4,506 outputs
Outputs of similar age
#17,680
of 155,187 outputs
Outputs of similar age from Genome Biology
#20
of 46 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 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 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 46th percentile – i.e., 46% 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 155,187 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 87% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.