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CAMbase – A XML-based bibliographical database on Complementary and Alternative Medicine (CAM)

Overview of attention for article published in Biomedical Digital Libraries, April 2007
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1 Facebook page

Citations

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10 Dimensions

Readers on

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19 Mendeley
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2 CiteULike
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1 Connotea
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Title
CAMbase – A XML-based bibliographical database on Complementary and Alternative Medicine (CAM)
Published in
Biomedical Digital Libraries, April 2007
DOI 10.1186/1742-5581-4-2
Pubmed ID
Authors

Thomas Ostermann, Hartmut Zillmann, Christa K Raak, Arndt Buessing, Peter F Matthiessen

Abstract

The term "Complementary and Alternative Medicine (CAM)" covers a variety of approaches to medical theory and practice, which are not commonly accepted by representatives of conventional medicine. In the past two decades, these approaches have been studied in various areas of medicine. Although there appears to be a growing number of scientific publications on CAM, the complete spectrum of complementary therapies still requires more information about published evidence. A majority of these research publications are still not listed in electronic bibliographical databases such as MEDLINE. However, with a growing demand by patients for such therapies, physicians increasingly need an overview of scientific publications on CAM. Bearing this in mind, CAMbase, a bibliographical database on CAM was launched in order to close this gap. It can be accessed online free of charge or additional costs. The user can peruse more than 80,000 records from over 30 journals and periodicals on CAM, which are stored in CAMbase. A special search engine performing syntactical and semantical analysis of textual phrases allows the user quickly to find relevant bibliographical information on CAM. Between August 2003 and July 2006, 43,299 search queries, an average of 38 search queries per day, were registered focussing on CAM topics such as acupuncture, cancer or general safety aspects. Analysis of the requests led to the conclusion that CAMbase is not only used by scientists and researchers but also by physicians and patients who want to find out more about CAM. Closely related to this effort is our aim to establish a modern library center on Complementary Medicine which offers the complete spectrum of a modern digital library including a document delivery-service for physicians, therapists, scientists and researchers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 5%
Greece 1 5%
Germany 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Master 3 16%
Librarian 2 11%
Other 2 11%
Student > Bachelor 2 11%
Other 4 21%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 10 53%
Psychology 3 16%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Arts and Humanities 1 5%
Other 0 0%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 December 2014.
All research outputs
#20,247,117
of 22,775,504 outputs
Outputs from Biomedical Digital Libraries
#11
of 12 outputs
Outputs of similar age
#73,936
of 76,537 outputs
Outputs of similar age from Biomedical Digital Libraries
#3
of 3 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one scored the same or higher as 1 of them.
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 76,537 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.