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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AluScan: a method for genome-wide scanning of sequence and structure variations in the human genome
|
|---|---|
| Published in |
BMC Genomics, November 2011
|
| DOI | 10.1186/1471-2164-12-564 |
| Pubmed ID | |
| Authors |
Lingling Mei, Xiaofan Ding, Shui-Ying Tsang, Frank W Pun, Siu-Kin Ng, Jianfeng Yang, Cunyou Zhao, Dezhi Li, Weiqing Wan, Chi-Hung Yu, Tze-Ching Tan, Wai-Sang Poon, Gilberto Ka-Kit Leung, Ho-Keung Ng, Liwei Zhang, Hong Xue |
| Abstract |
To complement next-generation sequencing technologies, there is a pressing need for efficient pre-sequencing capture methods with reduced costs and DNA requirement. The Alu family of short interspersed nucleotide elements is the most abundant type of transposable elements in the human genome and a recognized source of genome instability. With over one million Alu elements distributed throughout the genome, they are well positioned to facilitate genome-wide sequence amplification and capture of regions likely to harbor genetic variation hotspots of biological relevance. |
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 % |
|---|---|---|
| Unknown | 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Sweden | 1 | 2% |
| Russia | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 35% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 3 | 6% |
| Other | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 44% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Computer Science | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 10 | 19% |
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 31 August 2021.
All research outputs
#6,908,917
of 22,656,971 outputs
Outputs from BMC Genomics
#3,206
of 10,607 outputs
Outputs of similar age
#62,870
of 238,843 outputs
Outputs of similar age from BMC Genomics
#89
of 305 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,607 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 68% 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 238,843 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 72% of its contemporaries.
We're also able to compare this research output to 305 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 66% of its contemporaries.