ach takes into account publication record, offspring generation, and collaborative connections, and delivers a brand new citation-independent parameter named TeamTree solution (TTP; Pfrieger, 2021). Depending on this parameter, key players studying neurodegenerative ailments and cholesterol are exposed in Figure 5. As a consequence of the high selectivity, only a tiny fraction of authors (5 ) reached TTP values above zero. Notably, TTP values of authors had been strongly correlated with citation-dependent measures for example the total quantity of citations or the H index (Figure 5C).IDENTIFICATION OF Main CONTRIBUTORS Towards the FIELDAn critical purpose of bibliometric analyses is usually to estimate the contribution of ADAM8 Purity & Documentation individual authors. The “key players” may possibly serve as authorities, important opinion leaders, referees, andDISEASE-SPECIFIC WORKFORCE ANALYSESTo achieve deeper insight, illnesses using the biggest numbers of publications were analyzed separately (Table 1). Notably, AD-related research produced half from the articles published inFrontiers in Aging Neuroscience | frontiersin.orgNovember 2021 | Volume 13 | ArticlePfriegerWorkforce Studying Neurodegeneration and Cholesterolthe field (Table 1). All round, the fields showed marked variations with respect to length and development pattern: MS has the longest and most continuous publication record (Figure 6). Except for two articles published inside the 1960s, analysis on AD and cholesterol started in the 1980s. The subsequent growth of this field was likely triggered by discoveries that the K-Ras Storage & Stability epsilon allele of apolipoprotein E (Corder et al., 1993; Poirier et al., 1993; Rebeck et al., 1993; Saunders et al., 1993; Strittmatter et al., 1993) and high blood levels of cholesterol raise the threat of sporadic AD (Kivipelto et al., 2001). Parallel research revealed connections in between cholesterol and beta amyloid (Hartmann et al., 1994; Bodovitz and Klein, 1996; Avdulov et al., 1997; Howland et al., 1998; Simons et al., 1998; Refolo et al., 2000; Fassbender et al., 2001; Kojro et al., 2001; Puglielli et al., 2001; Runz et al., 2002; Wahrle et al., 2002) and involving statins and AD (Wolozin et al., 2000; Refolo et al., 2001). The other disease fields are characterized by intermittent publication activity starting inside the 1960s (HD) and 1970 (PD, ALS) and a much more continuous improvement considering the fact that 2000 (Figure 6). Inside the case of HD, pioneering research showing hyperlinks to cholesterol synthesis had been published at the starting of the 2000s (Sipione et al., 2002; Valenza et al., 2005). In all fields, the workforce grew extra strongly than the amount of publications (Figure 6) as a consequence of the increasing number of authors per post (Figure 1C). The ratios of author counts to publication counts were incredibly similar across fields (six.6 0.5; imply typical deviation; n = 5). In each and every field, most authors contributed single articles with their fractions ranging from the lowest worth in AD to the highest in ALS (Figure 7A). Inversely, the AD and ALS fields showed the highest and lowest fraction of authors involved in collaborations, respectively (Figure 7A). Authors with household ties represented a minority on the workforce with disease-specific fractions among 3 and 13 (Figure 7A). The evaluation also revealed reasonably tiny overlap amongst the workforce of each disease. Only 6 of authors (146 out of 2,379) contributed articles to a lot more than one particular field (Figure 7B) and established up to six connections among them with AD and PD displaying the largest workforce overlap (Figure 7C). TeamTree graphs
