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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exon capture and bulk segregant analysis: rapid discovery of causative mutations using high-throughput sequencing
|
|---|---|
| Published in |
BMC Genomics, November 2012
|
| DOI | 10.1186/1471-2164-13-649 |
| Pubmed ID | |
| Authors |
Florencia del Viso, Dipankan Bhattacharya, Yong Kong, Michael J Gilchrist, Mustafa K Khokha |
| Abstract |
Exome sequencing has transformed human genetic analysis and may do the same for other vertebrate model systems. However, a major challenge is sifting through the large number of sequence variants to identify the causative mutation for a given phenotype. In models like Xenopus tropicalis, an incomplete and occasionally incorrect genome assembly compounds this problem. To facilitate cloning of X. tropicalis mutants identified in forward genetic screens, we sought to combine bulk segregant analysis and exome sequencing into a single step. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Germany | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| France | 1 | 2% |
| Netherlands | 1 | 2% |
| Canada | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 41 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 35% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Professor | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 65% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Medicine and Dentistry | 2 | 4% |
| Environmental Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 02 January 2013.
All research outputs
#7,660,080
of 23,318,744 outputs
Outputs from BMC Genomics
#3,667
of 10,742 outputs
Outputs of similar age
#83,019
of 279,133 outputs
Outputs of similar age from BMC Genomics
#155
of 380 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 279,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 380 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 55% of its contemporaries.