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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network methods for describing sample relationships in genomic datasets: application to Huntington’s disease
|
|---|---|
| Published in |
BMC Systems Biology, June 2012
|
| DOI | 10.1186/1752-0509-6-63 |
| Pubmed ID | |
| Authors |
Michael C Oldham, Peter Langfelder, Steve Horvath |
| Abstract |
Genomic datasets generated by new technologies are increasingly prevalent in disparate areas of biological research. While many studies have sought to characterize relationships among genomic features, commensurate efforts to characterize relationships among biological samples have been less common. Consequently, the full extent of sample variation in genomic studies is often under-appreciated, complicating downstream analytical tasks such as gene co-expression network analysis. |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Portugal | 1 | <1% |
| Kenya | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 148 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 29% |
| Student > Ph. D. Student | 42 | 27% |
| Student > Bachelor | 13 | 8% |
| Student > Master | 12 | 8% |
| Professor | 11 | 7% |
| Other | 25 | 16% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 38% |
| Biochemistry, Genetics and Molecular Biology | 27 | 17% |
| Medicine and Dentistry | 13 | 8% |
| Neuroscience | 10 | 6% |
| Computer Science | 8 | 5% |
| Other | 28 | 18% |
| Unknown | 12 | 8% |
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 03 June 2018.
All research outputs
#6,753,656
of 25,373,627 outputs
Outputs from BMC Systems Biology
#203
of 1,132 outputs
Outputs of similar age
#45,902
of 181,001 outputs
Outputs of similar age from BMC Systems Biology
#7
of 45 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 73rd percentile.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 81% 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 181,001 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 74% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.