You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Microarray-based ultra-high resolution discovery of genomic deletion mutations
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-224 |
| Pubmed ID | |
| Authors |
Eric J Belfield, Carly Brown, Xiangchao Gan, Caifu Jiang, Dilair Baban, Aziz Mithani, Richard Mott, Jiannis Ragoussis, Nicholas P Harberd |
| Abstract |
Oligonucleotide microarray-based comparative genomic hybridization (CGH) offers an attractive possible route for the rapid and cost-effective genome-wide discovery of deletion mutations. CGH typically involves comparison of the hybridization intensities of genomic DNA samples with microarray chip representations of entire genomes, and has widespread potential application in experimental research and medical diagnostics. However, the power to detect small deletions is low. |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 5% |
| Taiwan | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 37% |
| Student > Bachelor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Professor | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 32% |
| Agricultural and Biological Sciences | 6 | 32% |
| Computer Science | 2 | 11% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 4 | 21% |
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 24 March 2014.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from BMC Genomics
#8,323
of 10,787 outputs
Outputs of similar age
#163,840
of 225,211 outputs
Outputs of similar age from BMC Genomics
#109
of 155 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 225,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.