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Mendeley readers
Attention Score in Context
| Title |
A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays
|
|---|---|
| Published in |
BMC Bioinformatics, November 2006
|
| DOI | 10.1186/1471-2105-7-514 |
| Pubmed ID | |
| Authors |
Francesca Demichelis, Paolo Magni, Paolo Piergiorgi, Mark A Rubin, Riccardo Bellazzi |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Switzerland | 2 | 3% |
| South Africa | 1 | 1% |
| Slovenia | 1 | 1% |
| Israel | 1 | 1% |
| Russia | 1 | 1% |
| China | 1 | 1% |
| Unknown | 64 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 27% |
| Researcher | 10 | 14% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 14 | 19% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 28% |
| Agricultural and Biological Sciences | 9 | 12% |
| Medicine and Dentistry | 8 | 11% |
| Business, Management and Accounting | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 17 | 23% |
| Unknown | 14 | 19% |
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 27 December 2021.
All research outputs
#7,447,868
of 22,769,322 outputs
Outputs from BMC Bioinformatics
#3,019
of 7,273 outputs
Outputs of similar age
#41,467
of 155,455 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 57 outputs
Altmetric has tracked 22,769,322 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 7,273 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 155,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.