Abstract
In this chapter, we present a strategy and the techniques to approach a scientific field from a set of articles gathered from the bibliographic database “Web of Science.” The strategy is based on methods developed to analyze social networks. We illustrate its use in studying the calmodulin field. The method allows to structure a huge number of articles when writing a review, to detect the key opinion leaders in a given field, and to locate their own research topic in the landscape of themes deciphered by our own community.
We show that the free software VOSviewer may be used without knowledge in computing science and with a short learning period.
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References
Raimbault B, Cointet JP, Joly PB (2016) Mapping the emergence of synthetic biology. PLoS One 11(9):e0161522
Vellay SG, Latimer NE, Paillard G (2009) Interactive text mining with Pipeline Pilot: a bibliographic web-based tool for PubMed. Infect Disord Drug Targets 9(3):366–374
Li K, Rollins J, Yan E (2018) Web of Science use in published research and review papers 1997-2017: a selective, dynamic, cross-domain, content-based analysis. Scientometrics 115(1):1–20
van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84(2):523–538
Berchtold MW, Villalobo A (2014) The many faces of calmodulin in cell proliferation, programmed cell death, autophagy, and cancer. Biochim Biophys Acta 1843(2):398–435
Haiech J, Kilhoffer MC, Craig TA et al (1990) Mutant analysis approaches to understanding calcium signal transduction through calmodulin and calmodulin regulated enzymes. Adv Exp Med Biol 269:43–56
Waltman L, van Eck NJ (2013) A smart local moving algorithm for large-scale modularity-based community detection. Eur Phys J B 86(11):471
Klavans R, Boyack KW (2017) Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge? J Assoc Inf Sci Technol 68(4):984–998
Weinberg BH (1974) Bibliographic coupling: a review. Inf Stor Retr 10(5):189–196
Cheung WY (1980) Calmodulin plays a pivotal role in cellular regulation. Science 207(4426):19–27
Klee CB, Crouch TH, Richman PG (1980) Calmodulin. Annu Rev Biochem 49:489–515
Ikura M, Clore GM, Gronenborn AM et al (1992) Solution structure of a calmodulin-target peptide complex by multidimensional NMR. Science 256(5057):632–638
Meador WE, Means AR, Quiocho FA (1992) Target enzyme recognition by calmodulin: 2.4 A structure of a calmodulin-peptide complex. Science 257(5074):1251–1255
Hanson PI, Schulman H (1992) Neuronal Ca2+/calmodulin-dependent protein kinases. Annu Rev Biochem 61:559–601
Miller SG, Kennedy MB (1986) Regulation of brain type II Ca2+/calmodulin-dependent protein kinase by autophosphorylation: a Ca2+−triggered molecular switch. Cell 44(6):861–870
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Haiech, J., Kilhoffer, MC. (2019). Using Data Mining to Explore Calmodulin Bibliography. In: Heizmann, C. (eds) Calcium-Binding Proteins of the EF-Hand Superfamily. Methods in Molecular Biology, vol 1929. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9030-6_1
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DOI: https://doi.org/10.1007/978-1-4939-9030-6_1
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