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Endometriosis: clinical features, MR imaging findings and pathologic correlation

Overview of attention for article published in Insights Into Imaging, February 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
10 tweeters
facebook
4 Facebook pages

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
234 Mendeley
Title
Endometriosis: clinical features, MR imaging findings and pathologic correlation
Published in
Insights Into Imaging, February 2018
DOI 10.1007/s13244-017-0591-0
Pubmed ID
Authors

Pietro Valerio Foti, Renato Farina, Stefano Palmucci, Ilenia Anna Agata Vizzini, Norma Libertini, Maria Coronella, Saveria Spadola, Rosario Caltabiano, Marco Iraci, Antonio Basile, Pietro Milone, Antonio Cianci, Giovanni Carlo Ettorre

Abstract

We illustrate the magnetic resonance imaging (MRI) features of endometriosis. Endometriosis is a chronic gynaecological condition affecting women of reproductive age and may cause pelvic pain and infertility. It is characterized by the growth of functional ectopic endometrial glands and stroma outside the uterus and includes three different manifestations: ovarian endometriomas, peritoneal implants, deep pelvic endometriosis. The primary locations are in the pelvis; extrapelvic endometriosis may rarely occur. Diagnosis requires a combination of clinical history, invasive and non-invasive techniques. The definitive diagnosis is based on laparoscopy with histological confirmation. Diagnostic imaging is necessary for treatment planning. MRI is as a second-line technique after ultrasound. The MRI appearance of endometriotic lesions is variable and depends on the quantity and age of haemorrhage, the amount of endometrial cells, stroma, smooth muscle proliferation and fibrosis. The purpose of surgery is to achieve complete resection of all endometriotic lesions in the same operation. Owing to the possibility to perform a complete assessment of all pelvic compartments at one time, MRI represents the best imaging technique for preoperative staging of endometriosis, in order to choose the more appropriate surgical approach and to plan a multidisciplinary team work. • Endometriosis includes ovarian endometriomas, peritoneal implants and deep pelvic endometriosis. • MRI is a second-line imaging technique after US. • Deep pelvic endometriosis is associated with chronic pelvic pain and infertility. • Endometriosis is characterized by considerable diagnostic delay. • MRI is the best imaging technique for preoperative staging of endometriosis.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 234 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 41 18%
Student > Postgraduate 23 10%
Student > Master 21 9%
Other 18 8%
Researcher 15 6%
Other 37 16%
Unknown 79 34%
Readers by discipline Count As %
Medicine and Dentistry 97 41%
Nursing and Health Professions 14 6%
Agricultural and Biological Sciences 7 3%
Biochemistry, Genetics and Molecular Biology 7 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 13 6%
Unknown 91 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 31 January 2022.
All research outputs
#1,804,778
of 21,685,809 outputs
Outputs from Insights Into Imaging
#72
of 857 outputs
Outputs of similar age
#40,123
of 294,895 outputs
Outputs of similar age from Insights Into Imaging
#3
of 17 outputs
Altmetric has tracked 21,685,809 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 857 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 91% 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 294,895 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 86% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.