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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional annotation and ENU
|
|---|---|
| Published in |
BMC Research Notes, October 2012
|
| DOI | 10.1186/1756-0500-5-580 |
| Pubmed ID | |
| Authors |
Teresa M Gunn |
| Abstract |
Functional annotation of every gene in the mouse genome is a herculean task that requires a multifaceted approach. Many large-scale initiatives are contributing to this undertaking. The International Knockout Mouse Consortium (IKMC) plans to mutate every protein-coding gene, using a combination of gene trapping and gene targeting in embryonic stem cells. Many other groups are performing using the chemical mutagen ethylnitrosourea (ENU) or transpon-based systems to induce mutations, screening offspring for phenovariants and identifying the causative mutations. A recent paper in BMC Research Notes by Arnold et al. presents data from an ENU-based mutagenesis project that provides not only some of the first phenotype-genotype information for a large number of genes, but also a trove of information, all publicly available, that demonstrates the specificity and efficiency of ENU mutagenesis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 40% |
| Professor | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Student > Master | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 60% |
| Biochemistry, Genetics and Molecular Biology | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 October 2012.
All research outputs
#3,769,204
of 23,881,329 outputs
Outputs from BMC Research Notes
#513
of 4,300 outputs
Outputs of similar age
#27,137
of 185,262 outputs
Outputs of similar age from BMC Research Notes
#9
of 83 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 88% 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 185,262 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 85% of its contemporaries.
We're also able to compare this research output to 83 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 90% of its contemporaries.