Total research productivity in a pathology discipline.
OBJECTIVE
To investigate the research productivity of all staff in chemical pathology.


METHODS
Chemical pathologists or biochemical scientists were identified from publicly available sources. All journals, their impact factors (IFs), and individual publications over the period of 1995 to 1999 were identified from electronic databases. Each publication was subclassified with respect to type of publication, number and position of author, and subspecialty to which the article referred.


RESULTS
Research output over the period comprised 6162 articles, originating from 1399 individuals, 264 of whom were medically qualified. Specialty initiated research accounted for 26% of the total publications and 80% of the research was performed in teaching hospitals. Research output was highly skewed because 49% of individuals published a letter or more, 20% published one original piece of research over five years, but only 4% were research active, as defined by one publication each year. International standard research, defined as one paper each year in journals with IF > 4, was achieved by 1% of the profession, mostly aged > 55 years. Skewed distributions of publication rates were found in all age deciles. The possession of higher research degrees correlated with higher output in all age deciles.


CONCLUSIONS
Those working in chemical pathology are active in initiating and conducting research, although at a low level. Because longterm activity in research correlates with the possession of higher research degrees and the opportunity to carry out research from early in career pathways, priority should be given to encouraging research in training, given the small and ageing profile of international quality research in the profession in the UK.
Wierzbicki
A S
AS
St Thomas's Hospital, Lambeth Palace Road, London SE1 7EH, UK. Anthony.Wierzbicki@kcl.ac.uk
Reynolds
T M
TM
D015706:Bibliometrics; D002624:Chemistry, Clinical / Q000706:statistics & numerical data*; D004526:Efficiency; D006801:Humans; D016014:Linear Models; D008875:Middle Aged; D010338:Pathology, Clinical / Q000706:statistics & numerical data*; D010506:Periodicals as Topic; D011643:Publishing / Q000706:statistics & numerical data; D012106:Research / Q000706:statistics & numerical data*; D006113:United Kingdom