title: Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring.
abstract: BACKGROUND
  Imbalances in female career promotion are believed to be strong in the field of academic science. A primary parameter to analyze gender inequalities is the gender authoring in scientific publications. Since the presently available data on gender distribution is largely limited to underpowered studies, we here develop a new approach to analyze authors' genders in large bibliometric databases.
  
  
  RESULTS
  A SQL-Server based multiuser software suite was developed that serves as an integrative tool for analyzing bibliometric data with a special emphasis on gender and topographical analysis. The presented system allows seamless integration, inspection, modification, evaluation and visualization of bibliometric data. By providing an adaptive and almost fully automatic integration and analysis process, the inter-individual variability of analysis is kept at a low level. Depending on the scientific question, the system enables the user to perform a scientometric analysis including its visualization within a short period of time.
  
  
  CONCLUSIONS
  In summary, a new software suite for analyzing gender representations in scientific articles was established. The system is suitable for the comparative analysis of scientific structures on the level of continents, countries, cities, city regions, institutions, research fields and journals.
authors.affiliation: Division of Computational Medicine, The Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, Frankfurt, Germany.
authors.forename: Michael H K
authors.initials: MH
authors.lastname: Bendels
authors.affiliation: Division of Female Health and Prevention, The Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, Frankfurt, Germany.
authors.forename: Dörthe
authors.initials: D
authors.lastname: Brüggmann
authors.affiliation: Division of Computational Medicine, The Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, Frankfurt, Germany.
authors.forename: Norman
authors.initials: N
authors.lastname: Schöffel
authors.affiliation: Division of Clinical Occupational Medicine, The Institute of Occupational Medicine, Social Medicine and Environmental Medicine, Goethe-University, Frankfurt, Germany.
authors.forename: David A
authors.initials: DA
authors.lastname: Groneberg
keywords: Bibliometric analysis; Gender; Gender analysis; Science structure; Scientometric analysis; Software tool