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The paper compares the characteristics of URLs cited in Indian LIS conference proceedings papers. A total of 15,745 references appended to 1,700 articles published in three Indian LIS conference proceedings published during 2001-2010 were selected. From these references we extracted a total of 5698 URLs and were further classified according to their top level domains, file formats and path depths for further analysis. The results showed that the percentage of articles with at least one URL increased from 39.10% in 2001 to 91.67% in 2010. There was a constant and continuous increase in the number of articles with URLs over the years during 2001-2010. Of the 1,700 articles published in conference proceedings, there were 1,011 (59.47%) articles with URLs. Study also reveals the fact that, of the 5,698 URLs, more than 50% were shared by .org and .com domains which accounted for 1,799 (31.57%) and 1,474 (25.87%) URLs respectively. The highest percentage of cited URLs belonged to HTML (68.50%) followed by .pdf files (8.86%). The path depth levels 0 (no path), 2 and 3 collectively accounted for 67.67% of the extracted URLs. URLs with path depth 1 and 4 put together accounted for 25.31% of all the 5,698 URLs. [ABSTRACT FROM AUTHOR]

Abstract: In the present work we introduce a modification of the h-index for multi-authored papers with contribution based author name ranking. The modified h-index is denoted by h mc-index. It employs the framework of the h m-index, which in turn is a straightforward modification of the Hirsch index, proposed by Schreiber. To retain the merit of requiring no additional rearrangement of papers in the h m-index and in order to overcome its shortage of benefiting secondary authors at the expense of primary authors, h mc-index uses combined credit allocation (CCA) to replace fractionalized counting in the h m-index. The h m-index is a special form of h mc-index and fits for papers with equally important authors or alphabetically ordered authorship. There is a possibility of an author of lower contribution to the whole scientific community obtaining a higher h mc-index. Rational h mc-index, denoted by h mcr-index, can avoid it. A fictitious example as a model case and two empirical cases are analyzed. The correlations of the h mcr-index with the h-index and its several variants considering multiple co-authorship are inspected with 30 researchers’ citation data. The results show that the h mcr-index is more reasonable for authors with different contributions. A researcher playing more important roles in significant work will obtain higher h mcr-index. [Copyright &y& Elsevier]

We attempt to identify the 25 most-cited statistical papers, providing some brief commentary on each paper on our list. This list consists, to a great extent, of papers that are on non-parametric methods, have applications in the life sciences, or deal with the multiple comparisons problem. We also list the most-cited papers published in 1993 or later. In contrast to the overall most-cited papers, these are predominately papers on Bayesian methods and wavelets. We briefly discuss some of the issues involved in the use of citation counts. [ABSTRACT FROM AUTHOR]