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X Demographics
Mendeley readers
Attention Score in Context
Title |
Motif-guided sparse decomposition of gene expression data for regulatory module identification
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---|---|
Published in |
BMC Bioinformatics, March 2011
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DOI | 10.1186/1471-2105-12-82 |
Pubmed ID | |
Authors |
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B Riggins, Huai Li, Eric P Hoffman, Robert Clarke, Yue Wang |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 4% |
Germany | 1 | 2% |
Netherlands | 1 | 2% |
Norway | 1 | 2% |
United Kingdom | 1 | 2% |
Argentina | 1 | 2% |
Belgium | 1 | 2% |
Unknown | 39 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 34% |
Student > Ph. D. Student | 14 | 30% |
Professor | 4 | 9% |
Professor > Associate Professor | 4 | 9% |
Student > Doctoral Student | 3 | 6% |
Other | 3 | 6% |
Unknown | 3 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 38% |
Computer Science | 7 | 15% |
Engineering | 6 | 13% |
Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Immunology and Microbiology | 1 | 2% |
Other | 3 | 6% |
Unknown | 7 | 15% |
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 03 May 2017.
All research outputs
#20,311,744
of 22,852,911 outputs
Outputs from BMC Bioinformatics
#6,864
of 7,292 outputs
Outputs of similar age
#101,903
of 108,631 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 37 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,292 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 1st percentile – i.e., 1% 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 108,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.