↓ Skip to main content

MicroRNA signature of cis-platin resistant vs. cis-platin sensitive ovarian cancer cell lines

Overview of attention for article published in Journal of Ovarian Research, January 2011
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
60 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
MicroRNA signature of cis-platin resistant vs. cis-platin sensitive ovarian cancer cell lines
Published in
Journal of Ovarian Research, January 2011
DOI 10.1186/1757-2215-4-17
Pubmed ID
Authors

Smriti Kumar, Arooshi Kumar, Parag P Shah, Shesh N Rai, Siva K Panguluri, Sham S Kakar

Abstract

Ovarian cancer is the leading cause of death from gynecologic cancer in women worldwide. According to the National Cancer Institute, ovarian cancer has the highest mortality rate among all the reproductive cancers in women. Advanced stage diagnosis and chemo/radio-resistance is a major obstacle in treating advanced ovarian cancer. The most commonly employed chemotherapeutic drug for ovarian cancer treatment is cis-platin. As with most chemotherapeutic drugs, many patients eventually become resistant to cis-platin and therefore, diminishing its effect. The efficacy of current treatments may be improved by increasing the sensitivity of cancer cells to chemo/radiation therapies.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Brazil 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 33%
Student > Ph. D. Student 9 15%
Student > Postgraduate 6 10%
Student > Bachelor 6 10%
Student > Master 4 7%
Other 9 15%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 47%
Medicine and Dentistry 11 18%
Biochemistry, Genetics and Molecular Biology 6 10%
Chemistry 4 7%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 7 12%

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 25 September 2011.
All research outputs
#3,095,024
of 4,506,935 outputs
Outputs from Journal of Ovarian Research
#65
of 107 outputs
Outputs of similar age
#40,971
of 64,938 outputs
Outputs of similar age from Journal of Ovarian Research
#1
of 1 outputs
Altmetric has tracked 4,506,935 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 24th percentile – i.e., 24% 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 64,938 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them