ach requires into account publication record, offspring generation, and collaborative connections, and delivers a brand new citation-independent parameter named TeamTree product (TTP; Pfrieger, 2021). Based on this parameter, crucial players studying neurodegenerative ailments and cholesterol are exposed in Figure five. As a result of the higher selectivity, only a little fraction of authors (5 ) reached TTP values above zero. Notably, TTP values of authors have been strongly correlated with citation-dependent measures including the total quantity of citations or the H index (Figure 5C).IDENTIFICATION OF Key CONTRIBUTORS Towards the FIELDAn important purpose of bibliometric analyses should be to estimate the contribution of person authors. The “key players” may serve as experts, important opinion leaders, referees, andDISEASE-SPECIFIC WORKFORCE ANALYSESTo get deeper insight, illnesses with the largest numbers of publications had been analyzed separately (Table 1). Notably, AD-related analysis developed half in the articles published inFrontiers in Aging Neuroscience | frontiersin.orgNovember 2021 | Volume 13 | ArticlePfriegerWorkforce Studying Neurodegeneration and Cholesterolthe field (Table 1). Overall, the fields showed marked differences with respect to length and development pattern: MS has the longest and most continuous publication record (Figure six). Except for two articles published in the 1960s, study on AD and cholesterol began in the 1980s. The subsequent growth of this field was possibly triggered by discoveries that the HIV-2 manufacturer 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 studies revealed connections 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 between statins and AD (Wolozin et al., 2000; Refolo et al., 2001). The other disease fields are characterized by intermittent publication activity beginning inside the 1960s (HD) and 1970 (PD, ALS) in addition to a far more continuous improvement due to the fact 2000 (Figure 6). In the case of HD, pioneering studies showing links to cholesterol synthesis have been published in the beginning of your 2000s (Sipione et al., 2002; Valenza et al., 2005). In all fields, the workforce grew more strongly than the number of publications (Figure six) due to the growing number of authors per short article (Figure 1C). The ratios of author counts to publication counts were incredibly equivalent across fields (6.6 0.five; mean normal deviation; n = 5). In each and every field, most authors contributed single articles with their fractions ranging in the lowest value in AD for the highest in ALS (Figure 7A). Inversely, the AD and ALS fields showed the highest and lowest fraction of authors H3 Receptor Storage & Stability involved in collaborations, respectively (Figure 7A). Authors with family ties represented a minority of the workforce with disease-specific fractions among 3 and 13 (Figure 7A). The evaluation also revealed fairly small overlap amongst the workforce of every illness. Only six of authors (146 out of 2,379) contributed articles to a lot more than 1 field (Figure 7B) and established as much as six connections among them with AD and PD displaying the biggest workforce overlap (Figure 7C). TeamTree graphs
