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Anti-TNF-α treatment for pelvic pain associated with endometriosis

Overview of attention for article published in Cochrane database of systematic reviews, March 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
195 Mendeley

What is this page?

Summary Twitter Research highlights Dimensions citations
Title
Anti-TNF-α treatment for pelvic pain associated with endometriosis
Published in
Cochrane database of systematic reviews, March 2013
DOI 10.1002/14651858.cd008088.pub3
Pubmed ID
23543560
Authors

DongHao Lu, Huan Song, Gang Shi

Abstract

Endometriosis is a chronic, recurring condition that can develop during the reproductive years. It is characterised by the development of endometrial tissue outside the uterine cavity. It is the most common cause of pelvic pain in women. This endometrial tissue development is dependent on oestrogen produced primarily by the ovaries and, therefore, traditional management has focused on suppression of ovarian function. Mounting evidence shows that altered immune function plays a crucial role in the genesis and development of endometriosis. In this review we considered modulation of the inflammation as an alternative approach.

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Twitter Demographics

The data shown below were collected from the profiles of 3 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Chile 1 <1%
Peru 1 <1%
Unknown 192 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 15%
Student > Master 24 12%
Student > Bachelor 23 12%
Student > Ph. D. Student 19 10%
Other 16 8%
Other 35 18%
Unknown 49 25%
Readers by discipline Count As %
Medicine and Dentistry 74 38%
Nursing and Health Professions 19 10%
Biochemistry, Genetics and Molecular Biology 9 5%
Psychology 7 4%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Other 26 13%
Unknown 53 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 March 2022.
All research outputs
#12,614,284
of 21,358,488 outputs
Outputs from Cochrane database of systematic reviews
#9,824
of 12,060 outputs
Outputs of similar age
#89,657
of 175,983 outputs
Outputs of similar age from Cochrane database of systematic reviews
#81
of 119 outputs
Altmetric has tracked 21,358,488 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one is in the 17th percentile – i.e., 17% 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 175,983 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.

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