| Title |
A mouse informatics platform for phenotypic and translational discovery
|
|---|---|
| Published in |
Mammalian Genome, August 2015
|
| DOI | 10.1007/s00335-015-9599-2 |
| Pubmed ID | |
| Authors |
Natalie Ring, Terrence F. Meehan, Andrew Blake, James Brown, Chao-Kung Chen, Nathalie Conte, Armida Di Fenza, Tanja Fiegel, Neil Horner, Julius O. B. Jacobsen, Natasha Karp, Thomas Lawson, Jeremy C. Mason, Peter Matthews, Hugh Morgan, Mike Relac, Luis Santos, Damian Smedley, Duncan Sneddon, Alice Pengelly, Ilinca Tudose, Jonathan W. G. Warren, Henrik Westerberg, Gagarine Yaikhom, Helen Parkinson, Ann-Marie Mallon |
| Abstract |
The International Mouse Phenotyping Consortium (IMPC) is providing the world's first functional catalogue of a mammalian genome by characterising a knockout mouse strain for every gene. A robust and highly structured informatics platform has been developed to systematically collate, analyse and disseminate the data produced by the IMPC. As the first phase of the project, in which 5000 new knockout strains are being broadly phenotyped, nears completion, the informatics platform is extending and adapting to support the increasing volume and complexity of the data produced as well as addressing a large volume of users and emerging user groups. An intuitive interface helps researchers explore IMPC data by giving overviews and the ability to find and visualise data that support a phenotype assertion. Dedicated disease pages allow researchers to find new mouse models of human diseases, and novel viewers provide high-resolution images of embryonic and adult dysmorphologies. With each monthly release, the informatics platform will continue to evolve to support the increased data volume and to maintain its position as the primary route of access to IMPC data and as an invaluable resource for clinical and non-clinical researchers. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
| United States | 2 | 33% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 30% |
| Student > Ph. D. Student | 5 | 15% |
| Professor | 4 | 12% |
| Other | 4 | 12% |
| Student > Master | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 24% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Computer Science | 4 | 12% |
| Medicine and Dentistry | 4 | 12% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 February 2016.
All research outputs
#2,255,779
of 23,318,744 outputs
Outputs from Mammalian Genome
#31
of 1,139 outputs
Outputs of similar age
#31,398
of 269,215 outputs
Outputs of similar age from Mammalian Genome
#1
of 14 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% 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 269,215 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.