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Mendeley readers
Attention Score in Context
Title |
Interspecies protein-protein interaction network construction for characterization of host-pathogen interactions: a Candida albicans-zebrafish interaction study
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Published in |
BMC Systems Biology, August 2013
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DOI | 10.1186/1752-0509-7-79 |
Pubmed ID | |
Authors |
Yu-Chao Wang, Che Lin, Ming-Ta Chuang, Wen-Ping Hsieh, Chung-Yu Lan, Yung-Jen Chuang, Bor-Sen Chen |
Abstract |
Despite clinical research and development in the last decades, infectious diseases remain a top global problem in public health today, being responsible for millions of morbidities and mortalities each year. Therefore, many studies have sought to investigate host-pathogen interactions from various viewpoints in attempts to understand pathogenic and defensive mechanisms, which could help control pathogenic infections. However, most of these efforts have focused predominately on the host or the pathogen individually rather than on a simultaneous analysis of both interaction partners. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Brazil | 2 | 2% |
France | 1 | 1% |
United States | 1 | 1% |
Poland | 1 | 1% |
Unknown | 76 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 30% |
Researcher | 21 | 25% |
Student > Postgraduate | 11 | 13% |
Student > Bachelor | 5 | 6% |
Other | 4 | 5% |
Other | 12 | 14% |
Unknown | 5 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 39 | 47% |
Biochemistry, Genetics and Molecular Biology | 13 | 16% |
Computer Science | 5 | 6% |
Medicine and Dentistry | 3 | 4% |
Immunology and Microbiology | 3 | 4% |
Other | 9 | 11% |
Unknown | 11 | 13% |
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 20 August 2013.
All research outputs
#13,692,579
of 22,716,996 outputs
Outputs from BMC Systems Biology
#510
of 1,142 outputs
Outputs of similar age
#94,810
of 175,522 outputs
Outputs of similar age from BMC Systems Biology
#7
of 21 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 175,522 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.