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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inhibition of Hedgehog Signaling Antagonizes Serous Ovarian Cancer Growth in a Primary Xenograft Model
|
|---|---|
| Published in |
PLOS ONE, November 2011
|
| DOI | 10.1371/journal.pone.0028077 |
| Pubmed ID | |
| Authors |
Christopher K. McCann, Whitfield B. Growdon, Kashmira Kulkarni-Datar, Michael D. Curley, Anne M. Friel, Jennifer L. Proctor, Hana Sheikh, Igor Deyneko, Jeanne A. Ferguson, Vinod Vathipadiekal, Michael J. Birrer, Darrell R. Borger, Gayatry Mohapatra, Lawrence R. Zukerberg, Rosemary Foster, John R. MacDougall, Bo R. Rueda |
| Abstract |
Recent evidence links aberrant activation of Hedgehog (Hh) signaling with the pathogenesis of several cancers including medulloblastoma, basal cell, small cell lung, pancreatic, prostate and ovarian. This investigation was designed to determine if inhibition of this pathway could inhibit serous ovarian cancer growth. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 27% |
| Student > Bachelor | 10 | 24% |
| Researcher | 7 | 17% |
| Professor > Associate Professor | 4 | 10% |
| Student > Master | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 37% |
| Agricultural and Biological Sciences | 12 | 29% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Chemistry | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 7 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 November 2011.
All research outputs
#18,301,870
of 22,659,164 outputs
Outputs from PLOS ONE
#153,699
of 193,435 outputs
Outputs of similar age
#195,921
of 240,140 outputs
Outputs of similar age from PLOS ONE
#2,202
of 2,793 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 240,140 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,793 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.