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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of potential synthetic lethal genes to p53 using a computational biology approach
|
|---|---|
| Published in |
BMC Medical Genomics, September 2013
|
| DOI | 10.1186/1755-8794-6-30 |
| Pubmed ID | |
| Authors |
Xiaosheng Wang, Richard Simon |
| Abstract |
Identification of genes that are synthetic lethal to p53 is an important strategy for anticancer therapy as p53 mutations have been reported to occur in more than half of all human cancer cases. Although genome-wide RNAi screening is an effective approach to finding synthetic lethal genes, it is costly and labor-intensive. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 2 | 2% |
| Japan | 1 | <1% |
| Singapore | 1 | <1% |
| Unknown | 122 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 26% |
| Researcher | 26 | 20% |
| Student > Bachelor | 12 | 9% |
| Student > Master | 11 | 9% |
| Other | 10 | 8% |
| Other | 18 | 14% |
| Unknown | 19 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 29% |
| Biochemistry, Genetics and Molecular Biology | 34 | 26% |
| Medicine and Dentistry | 17 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
| Computer Science | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 19 | 15% |
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 25 June 2020.
All research outputs
#6,400,326
of 22,738,543 outputs
Outputs from BMC Medical Genomics
#290
of 1,218 outputs
Outputs of similar age
#55,512
of 198,483 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 12 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,218 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 198,483 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 70% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.