In addition to strong data citation guidelines, one answer we see at BioMed Central is to help researchers get credit for their data and encourage its reuse (and thus future citation) through more traditional lines of credit, such as the article.
An evidentiary breadth score, B, for each EPA a quantitative version of another standard proposed by Schmitt and Pilcher (2004)—is calculated as follows: where NE > 15 is the number of lines of evidence in which E + − E− > 15 (i.e., in which the rating of the strongest supporting citation is more than 15 points greater than that of the strongest challenging citation).
The strong co-citation affiliation between agriculture and veterinary journals, especially FA journals, was consistent with the importance of livestock production and disease in much of the world.
Although Boyack and Klavans [37] showed that self-citations cannot explain the strong association between citation impacts of the cited and citing papers at the aggregate level, the strong connection between current and previous top-level research in the life sciences and health sciences might partly be the result of large research programs that cite to a large extent internally.
Taken together, our findings suggest that firm-level patenting practices, particularly among high-volume applicants, have a strong influence on citation data and merit additional research.
In contrast, only 12 405 (7.3%) of the 168 949 events identified by the system were extracted from the 62.7% MeSH-irrelevant citations, demonstrating that the MeSH terms in Table 4 are indeed strong predictors of citations containing relevant events.
This result was not expected because it is generally accepted that the number of citations is a good predictor to the quality of research work and, thus, prominent researchers might be those with a strong number of citations.
Further, the authors showed that a strong tendency towards reciprocal citation patterns exists.
With respect to the citation metrics, strong relations emerge between the top 25% rankings for the h-, g-, and e-index and all three BuSs classifications taken into consideration.
Interestingly, apart from direct self-citations, this study could not find a strong tendency to cite authors that are close in the coauthorship network.
Interestingly, we found no strong differences in self-citation rates between Europe and US.
