| Title |
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering
|
|---|---|
| Published in |
BMC Bioinformatics, January 2007
|
| DOI | 10.1186/1471-2105-8-5 |
| Authors |
Nikhil R Pal, Kripamoy Aguan, Animesh Sharma, Shun-ichi Amari |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Australia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Belgium | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 80 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Researcher | 16 | 19% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 8 | 9% |
| Other | 16 | 19% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 20% |
| Medicine and Dentistry | 17 | 20% |
| Computer Science | 8 | 9% |
| Engineering | 8 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 14 | 16% |
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 22 July 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from BMC Bioinformatics
#6,954
of 7,382 outputs
Outputs of similar age
#154,882
of 159,251 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 52 outputs
Altmetric has tracked 23,310,485 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 7,382 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 159,251 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 52 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.