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X Demographics
Mendeley readers
Attention Score in Context
| Title |
InsertionMapper: a pipeline tool for the identification of targeted sequences from multidimensional high throughput sequencing data
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-679 |
| Pubmed ID | |
| Authors |
Wenwei Xiong, Limei He, Yubin Li, Hugo K Dooner, Chunguang Du |
| Abstract |
The advent of next-generation high-throughput technologies has revolutionized whole genome sequencing, yet some experiments require sequencing only of targeted regions of the genome from a very large number of samples. These regions can be amplified by PCR and sequenced by next-generation methods using a multidimensional pooling strategy. However, there is at present no available generalized tool for the computational analysis of target-enriched NGS data from multidimensional pools. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| South Africa | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 20 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 38% |
| Student > Bachelor | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 58% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Computer Science | 2 | 8% |
| Engineering | 2 | 8% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 July 2014.
All research outputs
#14,762,521
of 22,725,280 outputs
Outputs from BMC Genomics
#6,116
of 10,628 outputs
Outputs of similar age
#123,166
of 207,659 outputs
Outputs of similar age from BMC Genomics
#57
of 147 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 207,659 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 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 57% of its contemporaries.