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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards the identification of essential genes using targeted genome sequencing and comparative analysis
|
|---|---|
| Published in |
BMC Genomics, October 2006
|
| DOI | 10.1186/1471-2164-7-265 |
| Pubmed ID | |
| Authors |
Adam M Gustafson, Evan S Snitkin, Stephen CJ Parker, Charles DeLisi, Simon Kasif |
| Abstract |
The identification of genes essential for survival is of theoretical importance in the understanding of the minimal requirements for cellular life, and of practical importance in the identification of potential drug targets in novel pathogens. With the great time and expense required for experimental studies aimed at constructing a catalog of essential genes in a given organism, a computational approach which could identify essential genes with high accuracy would be of great value. |
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 % |
|---|---|---|
| Korea, Republic of | 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| India | 1 | 1% |
| Sri Lanka | 1 | 1% |
| Thailand | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 25% |
| Researcher | 18 | 22% |
| Student > Bachelor | 7 | 8% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Other | 13 | 16% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 49% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Computer Science | 7 | 8% |
| Medicine and Dentistry | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 2 | 2% |
| Unknown | 14 | 17% |
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 March 2013.
All research outputs
#15,266,089
of 22,701,287 outputs
Outputs from BMC Genomics
#6,666
of 10,622 outputs
Outputs of similar age
#58,571
of 66,935 outputs
Outputs of similar age from BMC Genomics
#27
of 33 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,622 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 66,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.