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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-Scale Discovery of DNA-Methylation Biomarkers for Blood-Based Detection of Colorectal Cancer
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050266 |
| Pubmed ID | |
| Authors |
Christopher P. E. Lange, Mihaela Campan, Toshinori Hinoue, Roderick F. Schmitz, Andrea E. van der Meulen-de Jong, Hilde Slingerland, Peter J. M. J. Kok, Cornelis M. van Dijk, Daniel J. Weisenberger, Hui Shen, Robertus A. E. M. Tollenaar, Peter W. Laird |
| Abstract |
There is an increasing demand for accurate biomarkers for early non-invasive colorectal cancer detection. We employed a genome-scale marker discovery method to identify and verify candidate DNA methylation biomarkers for blood-based detection of colorectal cancer. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Peru | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Brazil | 1 | <1% |
| Uruguay | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 111 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 23% |
| Student > Ph. D. Student | 23 | 19% |
| Student > Master | 19 | 16% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 17 | 14% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 28% |
| Medicine and Dentistry | 30 | 25% |
| Biochemistry, Genetics and Molecular Biology | 25 | 21% |
| Computer Science | 5 | 4% |
| Engineering | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 18 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 June 2023.
All research outputs
#3,337,143
of 23,880,375 outputs
Outputs from PLOS ONE
#43,901
of 205,279 outputs
Outputs of similar age
#33,138
of 283,310 outputs
Outputs of similar age from PLOS ONE
#791
of 4,747 outputs
Altmetric has tracked 23,880,375 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 205,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 78% 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 283,310 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 4,747 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.