You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Modeling synthetic lethality
|
|---|---|
| Published in |
Genome Biology, September 2008
|
| DOI | 10.1186/gb-2008-9-9-r135 |
| Pubmed ID | |
| Authors |
Nolwenn Le Meur, Robert Gentleman |
| Abstract |
Synthetic lethality defines a genetic interaction where the combination of mutations in two or more genes leads to cell death. The implications of synthetic lethal screens have been discussed in the context of drug development as synthetic lethal pairs could be used to selectively kill cancer cells, but leave normal cells relatively unharmed. A challenge is to assess genome-wide experimental data and integrate the results to better understand the underlying biological processes. We propose statistical and computational tools that can be used to find relationships between synthetic lethality and cellular organizational units. |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| Germany | 2 | 2% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 96 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 31% |
| Student > Ph. D. Student | 29 | 27% |
| Professor | 9 | 8% |
| Student > Master | 9 | 8% |
| Professor > Associate Professor | 7 | 7% |
| Other | 11 | 10% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 57% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Medicine and Dentistry | 7 | 7% |
| Computer Science | 4 | 4% |
| Neuroscience | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 10 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 August 2010.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Genome Biology
#4,093
of 4,467 outputs
Outputs of similar age
#84,903
of 98,677 outputs
Outputs of similar age from Genome Biology
#23
of 31 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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 5th percentile – i.e., 5% 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 98,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.