In the new century, with rapid population growth, large-scale urbanization, global warming and many other factors, we are facing unprecedented ecological, health, social, and other challenges and issues. These include biological invasion, environmental degradation, sharp increase in cancer morbidity, high frequency of emerging and re-emerging infectious diseases, which pose a grave threat to biological diversity, public health, economic development and so on. Based on the solid research in population dynamics and disease dynamics, mathematical modeling, analysis and simulation have been widely used over the past decades to study various problems in life sciences and medicine, from the expression of gene sequence to the pathogenesis of cancer, from the control of molecular organisms to the resistance of bacteria and viruses, from immune response to diseases to the design and evaluation of treatments, and so on. To provide a platform for researchers in mathematical biology and related fields to present latest findings and research trends, to exchange ideas and approaches, and to enhance communication and cooperation, we organized a workshop entitled "Current Topics in Mathematical Biology (CTMB)" at Shanghai Normal University, December 18-20, 2015. We acknowledge the support from the Mathematics and Science College at Shanghai Normal University and Shanghai Gaofeng Project for University Academic Development Program.
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 31 July 2018.
All research outputs
#25,003,514
of 27,788,362 outputs
Outputs from Mathematical Biosciences and Engineering
#536
of 742 outputs
Outputs of similar age
#291,874
of 331,116 outputs
Outputs of similar age from Mathematical Biosciences and Engineering
#12
of 21 outputs
Altmetric has tracked 27,788,362 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 742 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% 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 331,116 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 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
