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Mendeley readers
Attention Score in Context
| Title |
Cancer Biomarker Discovery: The Entropic Hallmark
|
|---|---|
| Published in |
PLOS ONE, August 2010
|
| DOI | 10.1371/journal.pone.0012262 |
| Pubmed ID | |
| Authors |
Regina Berretta, Pablo Moscato |
| Abstract |
It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high-throughput technologies that follow the gradual changes observed in the gene expression profiles by employing Shannon's mathematical theory of communication. Methods based on Information Theory can then quantify the divergence of cancer cells' transcriptional profiles from those of normally appearing cells of the originating tissues. The relevance of the proposed methods can be evaluated using microarray datasets available in the public domain but the method is in principle applicable to other high-throughput methods. |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Belgium | 2 | 1% |
| Italy | 1 | <1% |
| Uruguay | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Egypt | 1 | <1% |
| Germany | 1 | <1% |
| Nigeria | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 158 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 22% |
| Researcher | 35 | 20% |
| Student > Master | 23 | 13% |
| Student > Bachelor | 14 | 8% |
| Student > Doctoral Student | 12 | 7% |
| Other | 33 | 19% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 40% |
| Medicine and Dentistry | 28 | 16% |
| Biochemistry, Genetics and Molecular Biology | 20 | 11% |
| Computer Science | 9 | 5% |
| Chemistry | 7 | 4% |
| Other | 17 | 10% |
| Unknown | 24 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 23 July 2013.
All research outputs
#1,078,950
of 22,981,247 outputs
Outputs from PLOS ONE
#14,429
of 195,893 outputs
Outputs of similar age
#3,276
of 95,231 outputs
Outputs of similar age from PLOS ONE
#67
of 811 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 195,893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 92% 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 95,231 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 811 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.