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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

Mentioned by

twitter
2 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
169 Mendeley

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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 2 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 169 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 166 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 17%
Student > Master 22 13%
Student > Bachelor 18 11%
Student > Ph. D. Student 17 10%
Other 15 9%
Other 33 20%
Unknown 35 21%
Readers by discipline Count As %
Medicine and Dentistry 68 40%
Nursing and Health Professions 18 11%
Biochemistry, Genetics and Molecular Biology 8 5%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Psychology 7 4%
Other 22 13%
Unknown 39 23%

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 04 March 2021.
All research outputs
#11,201,890
of 18,783,186 outputs
Outputs from Cochrane database of systematic reviews
#9,716
of 11,858 outputs
Outputs of similar age
#87,053
of 170,669 outputs
Outputs of similar age from Cochrane database of systematic reviews
#91
of 129 outputs
Altmetric has tracked 18,783,186 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 11,858 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. 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 170,669 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 129 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.

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