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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated Analyses of microRNAs Demonstrate Their Widespread Influence on Gene Expression in High-Grade Serous Ovarian Carcinoma
|
|---|---|
| Published in |
PLOS ONE, March 2012
|
| DOI | 10.1371/journal.pone.0034546 |
| Pubmed ID | |
| Authors |
Chad J. Creighton, Anadulce Hernandez-Herrera, Anders Jacobsen, Douglas A. Levine, Parminder Mankoo, Nikolaus Schultz, Ying Du, Yiqun Zhang, Erik Larsson, Robert Sheridan, Weimin Xiao, Paul T. Spellman, Gad Getz, David A. Wheeler, Charles M. Perou, Richard A. Gibbs, Chris Sander, D. Neil Hayes, Preethi H. Gunaratne |
| Abstract |
The Cancer Genome Atlas (TCGA) Network recently comprehensively catalogued the molecular aberrations in 487 high-grade serous ovarian cancers, with much remaining to be elucidated regarding the microRNAs (miRNAs). Here, using TCGA ovarian data, we surveyed the miRNAs, in the context of their predicted gene targets. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| Belgium | 1 | <1% |
| Switzerland | 1 | <1% |
| China | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 123 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 29% |
| Student > Ph. D. Student | 31 | 23% |
| Student > Bachelor | 12 | 9% |
| Student > Master | 10 | 8% |
| Other | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 16 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 50% |
| Medicine and Dentistry | 22 | 17% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Engineering | 4 | 3% |
| Computer Science | 4 | 3% |
| Other | 9 | 7% |
| Unknown | 16 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 May 2015.
All research outputs
#6,378,788
of 22,664,267 outputs
Outputs from PLOS ONE
#76,348
of 193,506 outputs
Outputs of similar age
#43,214
of 160,407 outputs
Outputs of similar age from PLOS ONE
#1,190
of 3,700 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 193,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 59% 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 160,407 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3,700 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 65% of its contemporaries.