↓ Skip to main content

Can specific pain symptoms help in the diagnosis of endometriosis? A cohort study of women with chronic pelvic pain

Overview of attention for article published in Fertility & Sterility, April 2009
Altmetric Badge

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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
patent
1 patent
facebook
1 Facebook page
wikipedia
3 Wikipedia pages
guideline
1 clinical guideline source

Readers on

mendeley
113 Mendeley
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.
Article details
Title
Can specific pain symptoms help in the diagnosis of endometriosis? A cohort study of women with chronic pelvic pain
Published in
Fertility & Sterility, April 2009
DOI 10.1016/j.fertnstert.2009.01.164
Pubmed ID
Authors
Abstract

To investigate whether different dimensions of chronic pelvic pain are useful in the diagnosis of endometriosis.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Japan 1 <1%
Unknown 112 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 18 16%
Student > Doctoral Student 11 10%
Researcher 11 10%
Student > Ph. D. Student 8 7%
Student > Master 8 7%
Other 15 13%
Unknown 42 37%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 45 40%
Biochemistry, Genetics and Molecular Biology 5 4%
Nursing and Health Professions 4 4%
Agricultural and Biological Sciences 4 4%
Social Sciences 2 2%
Other 6 5%
Unknown 47 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 December 2020.
All research outputs
#2,412,601
of 34,410,798 outputs
Outputs from Fertility & Sterility
#1,109
of 12,467 outputs
Outputs of similar age
#7,339
of 150,857 outputs
Outputs of similar age from Fertility & Sterility
#12
of 142 outputs
Altmetric has tracked 34,410,798 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. 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 150,857 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 95% of its contemporaries.
We're also able to compare this research output to 142 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.