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X Demographics
Mendeley readers
Attention Score in Context
Title |
Bacteria pathogens drive host colonic epithelial cell promoter hypermethylation of tumor suppressor genes in colorectal cancer
|
---|---|
Published in |
Microbiome, July 2020
|
DOI | 10.1186/s40168-020-00847-4 |
Pubmed ID | |
Authors |
Xiaoxuan Xia, William Ka Kei Wu, Sunny Hei Wong, Dabin Liu, Thomas Ngai Yeung Kwong, Geicho Nakatsu, Pearlly S. Yan, Yu-Ming Chuang, Michael Wing-Yan Chan, Olabisi Oluwabukola Coker, Zigui Chen, Yun Kit Yeoh, Liuyang Zhao, Xiansong Wang, Wing Yin Cheng, Matthew Tak Vai Chan, Paul Kay Sheung Chan, Joseph Jao Yiu Sung, Maggie Haitian Wang, Jun Yu |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Hong Kong | 1 | 14% |
Singapore | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 80 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 15% |
Student > Master | 10 | 13% |
Student > Bachelor | 9 | 11% |
Researcher | 9 | 11% |
Student > Doctoral Student | 3 | 4% |
Other | 7 | 9% |
Unknown | 30 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 20% |
Immunology and Microbiology | 9 | 11% |
Agricultural and Biological Sciences | 7 | 9% |
Medicine and Dentistry | 6 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Other | 9 | 11% |
Unknown | 30 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 July 2020.
All research outputs
#2,944,069
of 24,967,663 outputs
Outputs from Microbiome
#1,121
of 1,711 outputs
Outputs of similar age
#72,862
of 402,572 outputs
Outputs of similar age from Microbiome
#38
of 50 outputs
Altmetric has tracked 24,967,663 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one is in the 34th percentile – i.e., 34% 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 402,572 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% 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 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.