Department of Emergency Medicine, Mayo Clinic Rochester, Rochester, MN, United States.
Mayo Clinic Libraries, Mayo Clinic Florida, Jacksonville, FL, United States.
J Med Internet Res. 2021 May 31;23(5):e28859. doi: 10.2196/28859.
The development of an author-level complementary metric could play a role in the process of academic promotion through objective evaluation of scholars' influence and impact.
The objective of this study was to evaluate the correlation between the Healthcare Social Graph (HSG) score, a novel social media influence and impact metric, and the h-index, a traditional author-level metric.
This was a cross-sectional study of health care stakeholders with a social media presence randomly sampled from the Symplur database in May 2020. We performed stratified random sampling to obtain a representative sample with all strata of HSG scores. We manually queried the h-index in two reference-based databases (Scopus and Google Scholar). Continuous features (HSG score and h-index) from the included profiles were summarized as the median and IQR. We calculated the Spearman correlation coefficients (ρ) to evaluate the correlation between the HSG scores and h-indexes obtained from Google Scholar and Scopus.
A total of 286 (31.2%) of the 917 stakeholders had a Google Scholar h-index available. The median HSG score for these profiles was 61.1 (IQR 48.2), and the median h-index was 14.5 (IQR 26.0). For the 286 subjects with the HSG score and Google Scholar h-index available, the Spearman correlation coefficient ρ was 0.1979 (P<.001), indicating a weak positive correlation between these two metrics. A total of 715 (78%) of 917 stakeholders had a Scopus h-index available. The median HSG score for these profiles was 57.6 (IQR 46.4), and the median h-index was 7 (IQR 16). For the 715 subjects with the HSG score and Scopus h-index available, ρ was 0.2173 (P<.001), also indicating a weak positive correlation.
We found a weak positive correlation between a novel author-level complementary metric and the h-index. More than a chiasm between traditional citation metrics and novel social media-based metrics, our findings point toward a bridge between the two domains.
开发一种作者层面的补充指标，可以通过客观评估学者的影响力和影响力，在学术晋升过程中发挥作用。
本研究的目的是评估 Healthcare Social Graph（HSG）评分这一新型社交媒体影响力和影响力指标与 h 指数之间的相关性，h 指数是一种传统的作者层面指标。
这是一项 2020 年 5 月对具有社交媒体影响力的医疗保健利益相关者的横断面研究，这些利益相关者是从 Symplur 数据库中随机抽样的。我们进行了分层随机抽样，以获得具有所有 HSG 评分层次的代表性样本。我们手动查询了两个基于参考文献的数据库（Scopus 和 Google Scholar）中的 h 指数。从纳入的个人资料中提取连续特征（HSG 评分和 h 指数），并将其总结为中位数和 IQR。我们计算了 Spearman 相关系数（ρ），以评估从 Google Scholar 和 Scopus 获得的 HSG 评分与 h 指数之间的相关性。
917 名利益相关者中共有 286 名（31.2%）可提供 Google Scholar h 指数。这些个人资料的 HSG 评分中位数为 61.1（IQR 48.2），h 指数中位数为 14.5（IQR 26.0）。对于 286 名具有 HSG 评分和 Google Scholar h 指数的受试者，Spearman 相关系数 ρ 为 0.1979（P<.001），表明这两个指标之间存在弱正相关。917 名利益相关者中共有 715 名（78%）可提供 Scopus h 指数。这些个人资料的 HSG 评分中位数为 57.6（IQR 46.4），h 指数中位数为 7（IQR 16）。对于 715 名具有 HSG 评分和 Scopus h 指数的受试者，ρ 为 0.2173（P<.001），也表明两者之间存在弱正相关。
我们发现一种新型作者层面补充指标与 h 指数之间存在弱正相关。与其说是传统引文指标与新型基于社交媒体的指标之间的交叉，不如说是两个领域之间的桥梁。
