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The molecular mechanism of ovarian granulosa cell tumors

Overview of attention for article published in Journal of Ovarian Research, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 600)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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2 news outlets
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1 X user

Citations

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44 Dimensions

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69 Mendeley
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Title
The molecular mechanism of ovarian granulosa cell tumors
Published in
Journal of Ovarian Research, February 2018
DOI 10.1186/s13048-018-0384-1
Pubmed ID
Authors

Jiaheng Li, Riqiang Bao, Shiwei Peng, Chunping Zhang

Abstract

Over these years, more and more sex cord-stromal tumors have been reported. Granulosa cell tumor (GCT) is a rare tumor in ovaries, accounts for 2% to 5% of ovarian cancers. The main different feature of GCTs from other ovarian cancers is that GCTs can lead to abnormally secreted hormones (estrogen, inhibin and Müllerian inhibiting substance). The GCT is divided into two categories according to the age of patients, namely AGCT (adult granulosa cell tumor) and JGCT (Juvenile granulosa cell tumor). AGCT patients accounts for 95%. Although the pathogenesis is not clear, FOXL2 (Forkhead box L2) mutation was considered as the most critical factor in AGCT development. The current treatment is dominated by surgery. Target therapy remains in the adjuvant therapy stage, such as hormone therapy. During these years, other pathogenic factors were also explored, such as PI3K/AKT (phosphatidylinositol-3-kinase; serine/threonine kinase), TGF-β (Transforming growth factor beta) signaling pathway, Notch signaling pathway, GATA4 and VEGF (vascular endothelial growth factor). These factors and signaling pathway play important roles in GCT cell proliferation, apoptosis, or angiogenesis. The purpose of this review is to summarize the possible pathogenic factors and signaling pathways, which may shed lights on developing potential therapeutic targets for GCT.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 14%
Student > Bachelor 10 14%
Student > Master 8 12%
Other 6 9%
Student > Ph. D. Student 4 6%
Other 6 9%
Unknown 25 36%
Readers by discipline Count As %
Medicine and Dentistry 23 33%
Biochemistry, Genetics and Molecular Biology 6 9%
Agricultural and Biological Sciences 3 4%
Veterinary Science and Veterinary Medicine 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 10%
Unknown 26 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 30 April 2019.
All research outputs
#1,887,321
of 23,020,670 outputs
Outputs from Journal of Ovarian Research
#27
of 600 outputs
Outputs of similar age
#47,442
of 437,329 outputs
Outputs of similar age from Journal of Ovarian Research
#2
of 15 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 600 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 95% 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 437,329 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 89% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.