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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Dosage-sensitive genes in evolution and disease
|
|---|---|
| Published in |
BMC Biology, September 2017
|
| DOI | 10.1186/s12915-017-0418-y |
| Pubmed ID | |
| Authors |
Alan M. Rice, Aoife McLysaght |
| Abstract |
For a subset of genes in our genome a change in gene dosage, by duplication or deletion, causes a phenotypic effect. These dosage-sensitive genes may confer an advantage upon copy number change, but more typically they are associated with disease, including heart disease, cancers and neuropsychiatric disorders. This gene copy number sensitivity creates characteristic evolutionary constraints that can serve as a diagnostic to identify dosage-sensitive genes. Though the link between copy number change and disease is well-established, the mechanism of pathogenicity is usually opaque. We propose that gene expression level may provide a common basis for the pathogenic effects of many copy number variants. |
Twitter Demographics
The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 38% |
| United States | 3 | 23% |
| Portugal | 2 | 15% |
| Ireland | 1 | 8% |
| Unknown | 2 | 15% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 4 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 174 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 24% |
| Student > Bachelor | 27 | 16% |
| Researcher | 24 | 14% |
| Student > Master | 15 | 9% |
| Student > Doctoral Student | 7 | 4% |
| Other | 17 | 10% |
| Unknown | 42 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 66 | 38% |
| Agricultural and Biological Sciences | 36 | 21% |
| Medicine and Dentistry | 11 | 6% |
| Neuroscience | 7 | 4% |
| Nursing and Health Professions | 3 | 2% |
| Other | 10 | 6% |
| Unknown | 41 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 25 July 2019.
All research outputs
#4,833,186
of 24,247,965 outputs
Outputs from BMC Biology
#1,084
of 2,136 outputs
Outputs of similar age
#79,330
of 319,870 outputs
Outputs of similar age from BMC Biology
#21
of 28 outputs
Altmetric has tracked 24,247,965 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.3. This one is in the 49th percentile – i.e., 49% 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 319,870 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 75% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.