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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-117 |
| Pubmed ID | |
| Authors |
Aaron M Newman, James B Cooper |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Russia | 1 | <1% |
| Argentina | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 168 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 58 | 32% |
| Student > Ph. D. Student | 52 | 29% |
| Student > Master | 11 | 6% |
| Professor > Associate Professor | 9 | 5% |
| Professor | 8 | 4% |
| Other | 31 | 17% |
| Unknown | 12 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 49% |
| Computer Science | 25 | 14% |
| Biochemistry, Genetics and Molecular Biology | 21 | 12% |
| Medicine and Dentistry | 13 | 7% |
| Engineering | 4 | 2% |
| Other | 11 | 6% |
| Unknown | 18 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 June 2020.
All research outputs
#18,730,833
of 23,217,343 outputs
Outputs from BMC Bioinformatics
#6,389
of 7,354 outputs
Outputs of similar age
#85,449
of 94,403 outputs
Outputs of similar age from BMC Bioinformatics
#60
of 71 outputs
Altmetric has tracked 23,217,343 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 94,403 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.