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Mendeley readers
Attention Score in Context
| Title |
Evaluation of gene-expression clustering via mutual information distance measure
|
|---|---|
| Published in |
BMC Bioinformatics, March 2007
|
| DOI | 10.1186/1471-2105-8-111 |
| Pubmed ID | |
| Authors |
Ido Priness, Oded Maimon, Irad Ben-Gal |
| Abstract |
The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compare different clustering solutions when using the Mutual Information (MI) measure versus the use of the well known Euclidean distance and Pearson correlation coefficient. |
Mendeley readers
The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Cuba | 1 | <1% |
| Morocco | 1 | <1% |
| Germany | 1 | <1% |
| Israel | 1 | <1% |
| Hong Kong | 1 | <1% |
| China | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 114 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 22% |
| Researcher | 26 | 21% |
| Student > Master | 19 | 15% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 17% |
| Unknown | 16 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 36% |
| Computer Science | 28 | 22% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Engineering | 8 | 6% |
| Mathematics | 5 | 4% |
| Other | 16 | 13% |
| Unknown | 15 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 November 2022.
All research outputs
#7,577,096
of 23,106,934 outputs
Outputs from BMC Bioinformatics
#3,049
of 7,330 outputs
Outputs of similar age
#27,354
of 77,277 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 36 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,330 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 50% 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 77,277 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.