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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Targeted massive parallel sequencing: the effective detection of novel causative mutations associated with hearing loss in small families
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, September 2012
|
| DOI | 10.1186/1750-1172-7-60 |
| Pubmed ID | |
| Authors |
Jeong-In Baek, Se-Kyung Oh, Dong-Bin Kim, Soo-Young Choi, Un-Kyung Kim, Kyu-Yup Lee, Sang-Heun Lee |
| Abstract |
Hereditary hearing loss is one of the most common heterogeneous disorders, and genetic variants that can cause hearing loss have been identified in over sixty genes. Most of these hearing loss genes have been detected using classical genetic methods, typically starting with linkage analysis in large families with hereditary hearing loss. However, these classical strategies are not well suited for mutation analysis in smaller families who have insufficient genetic information. |
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 % |
|---|---|---|
| United States | 2 | 67% |
| 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 30% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Postgraduate | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 28% |
| Agricultural and Biological Sciences | 11 | 24% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Nursing and Health Professions | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 13 | 28% |
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 12 April 2013.
All research outputs
#14,150,222
of 22,675,759 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,551
of 2,595 outputs
Outputs of similar age
#98,054
of 169,045 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#15
of 26 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,595 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 36th percentile – i.e., 36% 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 169,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.