You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Strategies for aggregating gene expression data: The collapseRows R function
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-322 |
| Pubmed ID | |
| Authors |
Jeremy A Miller, Chaochao Cai, Peter Langfelder, Daniel H Geschwind, Sunil M Kurian, Daniel R Salomon, Steve Horvath |
| Abstract |
Genomic and other high dimensional analyses often require one to summarize multiple related variables by a single representative. This task is also variously referred to as collapsing, combining, reducing, or aggregating variables. Examples include summarizing several probe measurements corresponding to a single gene, representing the expression profiles of a co-expression module by a single expression profile, and aggregating cell-type marker information to de-convolute expression data. Several standard statistical summary techniques can be used, but network methods also provide useful alternative methods to find representatives. Currently few collapsing functions are developed and widely applied. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| United Kingdom | 4 | 1% |
| France | 2 | <1% |
| Netherlands | 1 | <1% |
| Portugal | 1 | <1% |
| Sweden | 1 | <1% |
| Israel | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 295 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 95 | 30% |
| Student > Ph. D. Student | 82 | 26% |
| Student > Master | 22 | 7% |
| Student > Bachelor | 18 | 6% |
| Professor > Associate Professor | 14 | 4% |
| Other | 55 | 17% |
| Unknown | 32 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 101 | 32% |
| Biochemistry, Genetics and Molecular Biology | 61 | 19% |
| Computer Science | 25 | 8% |
| Medicine and Dentistry | 23 | 7% |
| Neuroscience | 20 | 6% |
| Other | 44 | 14% |
| Unknown | 44 | 14% |
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 22 May 2014.
All research outputs
#6,311,023
of 23,312,088 outputs
Outputs from BMC Bioinformatics
#2,368
of 7,383 outputs
Outputs of similar age
#34,867
of 120,999 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 82 outputs
Altmetric has tracked 23,312,088 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 7,383 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 67% 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 120,999 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 70% of its contemporaries.
We're also able to compare this research output to 82 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 56% of its contemporaries.