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Racial health disparities in ovarian cancer: not just black and white

Overview of attention for article published in Journal of Ovarian Research, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 586)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
9 news outlets
twitter
2 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Racial health disparities in ovarian cancer: not just black and white
Published in
Journal of Ovarian Research, September 2017
DOI 10.1186/s13048-017-0355-y
Pubmed ID
Authors

Sanjeev K. Srivastava, Aamir Ahmad, Orlandric Miree, Girijesh Kumar Patel, Seema Singh, Rodney P. Rocconi, Ajay P. Singh

Abstract

Ovarian cancer (OC) is the most lethal gynecological malignancy, which disproportionately affects African American (AA) women. Lack of awareness and socioeconomic factors are considered important players in OC racial health disparity, while at the same time, some recent studies have brought focus on the genetic basis of disparity as well. Differential polymorphisms, mutations and expressions of genes have been reported in OC patients of diverse racial and ethnic backgrounds. Combined, it appears that neither genetic nor the socioeconomic factors alone might explain the observed racially disparate health outcomes among OC patients. Rather, a more logical explanation would be the one that takes into consideration the combination and/or the interplay of these factors, perhaps even including some environmental ones. Hence, in this article, we attempt to review the available information on OC racial health disparity, and provide an overview of socioeconomic, environmental and genetic factors, as well as the epigenetic changes that can act as a liaison between the three. A better understanding of these underlying causes will help further research on effective cancer management among diverse patient population and ultimately narrow health disparity gaps.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Researcher 9 13%
Student > Ph. D. Student 9 13%
Student > Doctoral Student 6 8%
Student > Bachelor 4 6%
Other 13 18%
Unknown 19 27%
Readers by discipline Count As %
Medicine and Dentistry 16 23%
Nursing and Health Professions 11 15%
Biochemistry, Genetics and Molecular Biology 6 8%
Agricultural and Biological Sciences 4 6%
Social Sciences 3 4%
Other 8 11%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 July 2022.
All research outputs
#461,687
of 22,813,792 outputs
Outputs from Journal of Ovarian Research
#2
of 586 outputs
Outputs of similar age
#10,943
of 317,724 outputs
Outputs of similar age from Journal of Ovarian Research
#1
of 12 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 586 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 99% 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 317,724 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 96% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.