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Attention Score in Context
Title |
Clinical Value of Prognosis Gene Expression Signatures in Colorectal Cancer: A Systematic Review
|
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Published in |
PLOS ONE, November 2012
|
DOI | 10.1371/journal.pone.0048877 |
Pubmed ID | |
Authors |
Rebeca Sanz-Pamplona, Antoni Berenguer, David Cordero, Samantha Riccadonna, Xavier Solé, Marta Crous-Bou, Elisabet Guinó, Xavier Sanjuan, Sebastiano Biondo, Antonio Soriano, Giuseppe Jurman, Gabriel Capella, Cesare Furlanello, Victor Moreno |
Abstract |
The traditional staging system is inadequate to identify those patients with stage II colorectal cancer (CRC) at high risk of recurrence or with stage III CRC at low risk. A number of gene expression signatures to predict CRC prognosis have been proposed, but none is routinely used in the clinic. The aim of this work was to assess the prediction ability and potential clinical usefulness of these signatures in a series of independent datasets. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
United Kingdom | 1 | 33% |
South Africa | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | <1% |
Taiwan | 1 | <1% |
Belgium | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 105 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 28 | 25% |
Student > Ph. D. Student | 17 | 15% |
Student > Master | 15 | 14% |
Student > Postgraduate | 8 | 7% |
Student > Doctoral Student | 7 | 6% |
Other | 20 | 18% |
Unknown | 16 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 31% |
Agricultural and Biological Sciences | 21 | 19% |
Biochemistry, Genetics and Molecular Biology | 12 | 11% |
Computer Science | 9 | 8% |
Engineering | 5 | 5% |
Other | 11 | 10% |
Unknown | 19 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 September 2023.
All research outputs
#2,608,690
of 24,417,958 outputs
Outputs from PLOS ONE
#32,532
of 210,664 outputs
Outputs of similar age
#18,291
of 187,249 outputs
Outputs of similar age from PLOS ONE
#625
of 4,913 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 210,664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 84% 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 187,249 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 90% of its contemporaries.
We're also able to compare this research output to 4,913 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.