Abstract: 【Purpose/significance】Facebook is the largest social media in the world, and the altmetrics indicator based on Facebook mention can measure scientific communication, but are influenced by disciplinary differences. Normalization of Facebook altmetrics helps eliminate the impact【. Method/process】Based on the normalization principle of relative proportion, this study proposed normal⁃ ized Facebook altmetrics indicator FPP/FFsm and MNFS. Then, the two indicators were used to measure the performance of Facebook attention at the paper, journal and national levels based on large-scale data from Web of Science and Altmetric【. Result/conclusion】 Fairness tests were conducted to verify that the two indicators can effectively eliminate disciplinary differences. The top 10 papers with the highest FPP/FFSm (p) and MNFS (p) belong to biomedical and health science. The journal with the most attention from Facebook is Theory Culture & Society, and the country with the most attention from Facebook is Poland.【Innovation/limitation】The findings contribute to promoting the appropriate application of Facebook altmetrics. In the future, research may be conducted on data skewness and sparsity.