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X Demographics
Mendeley readers
Attention Score in Context
Title |
Chinese herbal medicines in the treatment of ectopic pregnancy
|
---|---|
Published in |
Cochrane database of systematic reviews, October 2007
|
DOI | 10.1002/14651858.cd006224.pub2 |
Pubmed ID | |
Authors |
Dengfeng, W, Taixiang, W, Lina, Hu, Marjoribanks, J, Guanjian, Lgj, Haijun, J, Ying, S, Jing, Zhang, Dengfeng, Wang, Marjoribanks, Jane, Haijun, Jia, Ying, Sun, Zhang, Jing, Liu, Guan J, Wu, Taixiang |
Abstract |
Traditional Chinese herbal medicine (CHM) has been used widely in Chinese hospitals to treat ectopic pregnancy. Many studies have been published supporting its use but the evidence has not been systematically reviewed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 3% |
Unknown | 38 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 9 | 23% |
Researcher | 7 | 18% |
Other | 6 | 15% |
Librarian | 3 | 8% |
Student > Bachelor | 3 | 8% |
Other | 9 | 23% |
Unknown | 2 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 33% |
Unspecified | 9 | 23% |
Agricultural and Biological Sciences | 3 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Other | 7 | 18% |
Unknown | 3 | 8% |
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 20 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from Cochrane database of systematic reviews
#10,762
of 12,296 outputs
Outputs of similar age
#64,698
of 75,398 outputs
Outputs of similar age from Cochrane database of systematic reviews
#60
of 67 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one is in the 8th percentile – i.e., 8% 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 75,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.