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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide linkage analyses identify Hfhl1 and Hfhl3 with frequency-specific effects on the hearing spectrum of NIH Swiss mice
|
|---|---|
| Published in |
BMC Genomic Data, April 2012
|
| DOI | 10.1186/1471-2156-13-32 |
| Pubmed ID | |
| Authors |
James M Keller, Konrad Noben-Trauth |
| Abstract |
The mammalian cochlea receives and analyzes sound at specific places along the cochlea coil, commonly referred to as the tonotopic map. Although much is known about the cell-level molecular defects responsible for severe hearing loss, the genetics responsible for less severe and frequency-specific hearing loss remains unclear. We recently identified quantitative trait loci (QTLs) Hfhl1 and Hfhl2 that affect high-frequency hearing loss in NIH Swiss mice. Here we used 2f1-f2 distortion product otoacoustic emissions (DPOAE) measurements to refine the hearing loss phenotype. We crossed the high frequency hearing loss (HFHL) line of NIH Swiss mice to three different inbred strains and performed linkage analysis on the DPOAE data obtained from the second-generation populations. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Lebanon | 1 | 14% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Lecturer > Senior Lecturer | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Other | 1 | 13% |
| Professor | 1 | 13% |
| Other | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 38% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Psychology | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Other | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 27 April 2012.
All research outputs
#6,963,279
of 25,373,627 outputs
Outputs from BMC Genomic Data
#232
of 1,204 outputs
Outputs of similar age
#46,072
of 175,584 outputs
Outputs of similar age from BMC Genomic Data
#5
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 80% 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 175,584 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 73% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.