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Mendeley readers
Attention Score in Context
| Title |
A hidden Markov model approach for determining expression from genomic tiling micro arrays
|
|---|---|
| Published in |
BMC Bioinformatics, May 2006
|
| DOI | 10.1186/1471-2105-7-239 |
| Pubmed ID | |
| Authors |
Kasper Munch, Paul P Gardner, Peter Arctander, Anders Krogh |
| Abstract |
Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of these data have been performed in an ad hoc fashion. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Netherlands | 1 | 3% |
| Australia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Denmark | 1 | 3% |
| Greece | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 33 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 43% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 5 | 13% |
| Professor > Associate Professor | 4 | 10% |
| Other | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 53% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Computer Science | 3 | 8% |
| Engineering | 2 | 5% |
| Arts and Humanities | 1 | 3% |
| Other | 7 | 18% |
| Unknown | 2 | 5% |
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 21 February 2008.
All research outputs
#7,454,298
of 22,789,076 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,279 outputs
Outputs of similar age
#23,086
of 65,994 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 50 outputs
Altmetric has tracked 22,789,076 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 7,279 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 65,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.