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Angiogenesis inhibitors for the treatment of ovarian cancer

Overview of attention for article published in Cochrane database of systematic reviews, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
121 Mendeley
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Title
Angiogenesis inhibitors for the treatment of ovarian cancer
Published in
Cochrane database of systematic reviews, September 2011
DOI 10.1002/14651858.cd007930.pub2
Pubmed ID
Authors

Kezia Gaitskell, Igor Martinek, Andrew Bryant, Sean Kehoe, Shibani Nicum, Jo Morrison

Abstract

Many women with ovarian cancer eventually develop resistance to conventional chemotherapy drugs, and so novel agents are being developed to target specific molecular pathways. One such class of drugs inhibits angiogenesis (the development of new blood vessels), which is essential for tumour growth. It is important to establish whether the addition of these new drugs to conventional chemotherapy regimens improves survival, and what the side-effects may be.

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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ecuador 2 2%
Spain 1 <1%
Italy 1 <1%
Unknown 117 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 16%
Student > Master 19 16%
Student > Ph. D. Student 17 14%
Student > Bachelor 16 13%
Student > Postgraduate 6 5%
Other 23 19%
Unknown 21 17%
Readers by discipline Count As %
Medicine and Dentistry 58 48%
Agricultural and Biological Sciences 10 8%
Nursing and Health Professions 6 5%
Unspecified 5 4%
Computer Science 4 3%
Other 14 12%
Unknown 24 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 February 2020.
All research outputs
#4,492,434
of 15,663,032 outputs
Outputs from Cochrane database of systematic reviews
#7,154
of 11,237 outputs
Outputs of similar age
#29,930
of 98,931 outputs
Outputs of similar age from Cochrane database of systematic reviews
#26
of 50 outputs
Altmetric has tracked 15,663,032 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,237 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one is in the 35th percentile – i.e., 35% 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 98,931 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.