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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MicroRNA paraffin-based studies in osteosarcoma reveal reproducible independent prognostic profiles at 14q32
|
|---|---|
| Published in |
Genome Medicine, January 2013
|
| DOI | 10.1186/gm406 |
| Pubmed ID | |
| Authors |
Andrew D Kelly, Benjamin Haibe-Kains, Katherine A Janeway, Katherine E Hill, Eleanor Howe, Jeffrey Goldsmith, Kyle Kurek, Antonio R Perez-Atayde, Nancy Francoeur, Jian-Bing Fan, Craig April, Hal Schneider, Mark C Gebhardt, Aedin Culhane, John Quackenbush, Dimitrios Spentzos |
| Abstract |
Although microRNAs (miRNAs) are implicated in osteosarcoma biology and chemoresponse, miRNA prognostic models are still needed, particularly because prognosis is imperfectly correlated with chemoresponse. Formalin-fixed, paraffin-embedded tissue is a necessary resource for biomarker studies in this malignancy with limited frozen tissue availability. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Saudi Arabia | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 27% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Bachelor | 8 | 14% |
| Student > Master | 6 | 10% |
| Student > Postgraduate | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 27% |
| Medicine and Dentistry | 15 | 25% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Computer Science | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 January 2013.
All research outputs
#3,261,176
of 25,371,288 outputs
Outputs from Genome Medicine
#723
of 1,585 outputs
Outputs of similar age
#31,917
of 286,801 outputs
Outputs of similar age from Genome Medicine
#12
of 25 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 54% 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 286,801 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 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.