scholarly journals Individual Paper Proposal Form

1996 ◽  
Vol 29 (03) ◽  
pp. 568
ASA News ◽  
2004 ◽  
Vol 37 (1) ◽  
pp. 36-38
Keyword(s):  

2014 ◽  
Author(s):  
Damian Pattinson

PLOS launched its Article-Level Metrics (ALMs) programme in 2009 as an alternative to the crude journal-level metrics that scientists have relied upon for so long to identify important research. ALMs allow readers to see how many views, downloads, citations and shares an individual paper has received, and thus to determine its impact on a field. Over the past year, the ALMs programme has been expanded to include social media information, such as Facebook likes and Tweets, and novel web tools such as Mendeley and Citeulike. Researchers are now using this information to examine the links between early activity indicators and long-term citation data, and to identify what tools best predict truly impactful research. In this session I will present the latest additions to PLOS's ALMs suite, and show some data on what these metrics tell us about the impact of papers published in PLOS journals.


Author(s):  
Michael J. Nelson

An alternate method for ranking journals based on the algorithm used in the Google search engine for pagerank is applied to the information science and library science set of journals from Journal Citation Reports. A method of calculating individual paper influence based on this algorithm is proposed.Une méthode alternative pour classer les périodiques et basée sur l’algorithme utilisé par la fonction pagerank du moteur de recherche Google est appliquée à l’ensemble des périodiques des sciences de l’information et de bibliothéconomie de Journal Citation Reports. Une méthode pour calculer l’influence individuelle des articles basés sur cet algorithme est proposée. 


1985 ◽  
Vol 52 (3) ◽  
pp. 355-359 ◽  
Author(s):  
Charles H. McKinnon ◽  
Trevor M. Higgs ◽  
A. John Bramley

SUMMARYTotal bacterial counts of the milk from individual cows were measured for three groups of ten winter housed cows at three milkings. The teats were either (i) left unwashed or (ii) washed with disinfected water (60 ppm available iodine) and dried with individual paper towels or (iii) washed with plain water and then dried with a single fabric cloth impregnated with a polymeric bisguanide and a quaternary ammonium compound. The mean total bacterial counts/ml for the groups were 5820, 2108 and 1116 respectively. Treatments (ii) and (iii) were also compared for their ability to prevent the inter-teat transfer of bacteria. Before teat washing and drying, one teat of each cow was deliberately contaminated with Streptococcus agalactiae. Significantly fewer teats (5/30) became contaminated with Str. agalactiae when treatment (iii) was used for teat washing and drying compared with treatment (ii) (20/30).


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