Predictive value of Altmetric score on citation rates and bibliometric impact

Background Bibliometric and Altmetric analyses provide different perspectives regarding research impact. This study aimed to determine whether Altmetric score was associated with citation rate independent of established bibliometrics. Methods Citations related to a previous cohort of 100 most cited articles in surgery were collected and a 3-year interval citation gain calculated. Citation count, citation rate index, Altmetric score, 5-year impact factor, and Oxford Centre for Evidence-Based Medicine levels were used to estimate citation rate prospect. Results The median interval citation gain was 161 (i.q.r. 83–281); 74 and 62 articles had an increase in citation rate index (median increase 2.8 (i.q.r. –0.1 to 7.7)) and Altmetric score (median increase 3 (0–4)) respectively. Receiver operating characteristic (ROC) curve analysis revealed that citation rate index (area under the curve (AUC) 0.86, 95 per cent c.i. 0.79 to 0.93; P < 0.001) and Altmetric score (AUC 0.65, 0.55 to 0.76; P = 0.008) were associated with higher interval citation gain. An Altmetric score critical threshold of 2 or more was associated with a better interval citation gain when dichotomized at the interval citation gain median (odds ratio (OR) 4.94, 95 per cent c.i. 1.99 to 12.26; P = 0.001) or upper quartile (OR 4.13, 1.60 to 10.66; P = 0.003). Multivariable analysis revealed only citation rate index to be independently associated with interval citation gain when dichotomized at the median (OR 18.22, 6.70 to 49.55; P < 0.001) or upper quartile (OR 19.30, 4.23 to 88.15; P < 0.001). Conclusion Citation rate index and Altmetric score appear to be important predictors of interval citation gain, and better at predicting future citations than the historical and established impact factor and Oxford Centre for Evidence-Based Medicine quality descriptors

Enhanced stress resilience training for UK surgical trainees; Effect and evolution evaluated

Introduction Core Surgical Training (CST) programs are associated with high burnout. This study aimed to assess the influence of Enhanced Stress Resilience Training (ESRT) over a 2-year period in a single UK Statutory Education Body. Method CSTs participated in 5-weeks of formal ESRT to address work stressors. The primary outcome measure was career progression related to curriculum metrics and National Training Number (NTN) appointment. Secondary measures related to burnout using validated psychological inventories. Results Of 42 CSTs, 13 engaged fully with ESRT (31.0%; male 8, female 5, median age 28 year.), 11 engaged partially, and 18 did not. ESRT engagement was associated with better NTN appointment (ESRT 8/13 (61.5%) vs. not 1/18 (5.6%), p = 0.025), less burnout [aMBI; mean 5.14 (SD ± 2.35) vs. 3.14 (±2.25), F 6.637, p = 0.002, η p 2 =0.167], less stress [PSS-10; 19.22 (±5.91) vs. 15.79 (±5.47), F 8.740, p < 0.001, η p 2 =0.200], but more mindfulness [CAMS-R; 19.22 (±5.91) vs. 20.57 (±2.93), F 3.201, p = 0.047, η p 2 =0.084]. On multivariable analysis, Improving Surgical Training (run-through CST) program (OR 5.2 (95% CI 1.42-28.41, p = 0.022), MRCS pass (OR 17.128 (95% CI 1.48-197.11, p = 0.023) and ESRT engagement (OR 13.249, 95% CI 2.08-84.58, p = 0.006) were independently associated with NTN success. Discussion ESRT was associated with less stress and burnout, better mindfulness, and most importantly 13-fold better career progression

Gongs galore: phaleristic study of the relative risk of a healing art related New Year Honour

Objectives To compare proportional representation of healthcare specialty workers, in receipt of New Year Honours (NYHs) and examine system bias. Design Observational study of UK honours system including comparative analysis of proportional representation of the UK medical workforce. Participants Recipients of NYHs from 2010 to 2019. Main outcome measures Absolute risk of receiving an NYH, related to medical specialty, gender and geographical region. Relative risk (RR) of receiving an NYH for services to healthcare related to specialty. Results 11 207 NYHs were bestowed, with 368 (3.3%) awarded to healthcare professionals: 212 (57.6%) women, 156 (42.4%) men. The RR of a healthcare professional receiving an NYH was 0.76 (95% CI 0.68 to 0.84, p<0.001) when compared with the remaining UK workforce. Doctors received most NYHs (n=181), with public health, clinical oncology and general medicine specialties most likely to be rewarded (RR 20.35 (95% CI 9.61 to 43.08, p<0.001), 8.43 (95% CI 2.70 to 26.30, p<0.001) and 8.22 (95% CI 6.22 to 10.86, p<0.001)), respectively; anaesthetists received fewest NYHs (RR 0.52 (95% CI 0.13 to 2.10), p=0.305). Men were more likely to receive NYHs than women (OR 0.44, 95% CI 0.36 to 0.54; p<0.001). Two hundred and fifty-four NYHs (69.0%) were bestowed on residents of England (60, 16.3% London), 49 (13.3%) Scotland (p=0.003), 39 (10.6%) Wales (p<0.001) and 26 (7.1%) Northern-Ireland (p<0.001). Conclusions Relative risk of receiving an NYH varied over 150-fold by specialty, twofold by gender and threefold by geographical location. Public health physicians are perceived to be the pick of the parade

Prognostic significance of competition ratios in surgical specialty training selection

Background A competition ratio (CR) indicates the ratio of total applications for a training post when compared with numbers of specialty posts available. This study aimed to evaluate CRs’ influence on National Training Number (NTN) selection in a single UK Statutory Education Body. Methods Consecutive core surgical trainees numbering 154 (105 men, 49 women; median years since graduation: four) were studied over a 6-year period. Annual specialty specific CRs were obtained from Health Education England’s website, and primary outcome measure was UK NTN appointment. Results Overall NTN appointment was 45.5%. Median CR was 2.36; range Oral & Maxillofacial Surgery 0.70 (2020) to Neurosurgery 22.0 (2020). Multivariable analysis revealed that NTN success was associated with: CR (OR 0.46, p=0.003), a single scientific publication (OR 6.25, p=0.001), cohort year (2019, OR 12.65, p=0.003) and Universal Annual Review of Competence Progression Outcome 1 (OR 45.24, p<0.001). CRs predicted NTN appointment with a Youden index defined critical ratio of 4.42; 28.6% (n=8) versus 49.2% (n=62), p=0.018. Conclusion CRs displayed 30-fold variation, with CRs below 4.42 associated with twofold better NTN promotion, but strong clinical competence and academic reach again emerged as the principal drivers of career advancement

Temporal variability of surface reflectance supersedes spatial resolution in defining Greenland’s bare-ice albedo

Abstract Ice surface albedo is a primary modulator of melt and runoff, yet our understanding of how reflectance varies over time across the Greenland Ice Sheet remains poor. This is due to a disconnect between point or transect scale albedo sampling and the coarser spatial, spectral and/or temporal resolutions of available satellite products. Here, we present time-series of bare-ice surface reflectance data that span a range of length scales, from the 500 m for Moderate Resolution Imaging Spectrometer’s MOD10A1 product, to 10 m for Sentinel-2 imagery, 0.1 m spot measurements from ground-based field spectrometry, and 2.5 cm from uncrewed aerial drone imagery. Our results reveal broad similarities in seasonal patterns in bare-ice reflectance, but further analysis identifies short-term dynamics in reflectance distribution that are unique to each dataset. Using these distributions, we demonstrate that areal mean reflectance is the primary control on local ablation rates, and that the spatial distribution of specific ice types and impurities is secondary. Given the rapid changes in mean reflectance observed in the datasets presented, we propose that albedo parameterizations can be improved by (i) quantitative assessment of the representativeness of time-averaged reflectance data products, and, (ii) using temporally-resolved functions to describe the variability in impurity distribution at daily time-scales. We conclude that the regional melt model performance may not be optimally improved by increased spatial resolution and the incorporation of sub-pixel heterogeneity, but instead, should focus on the temporal dynamics of bare-ice albedo