From altmetrics to citation: analisys of the datagramazero journal

This paper reflects about the impacts and possible relationships between altmetrics data and traditional citations. Presents an empirical analysis of the Information Science DataGramaZero Journal. The altmetrics data were collected by parameterization of APIs (Facebook and Twitter); and to collect the citations the Publish or Perish with data Google.Scholar was used. The universe of 441 articles provided for analysis 1,164 altmetrics data and 1,932 citations. The results shows 47.85% of the articles received one or more mentions and 36.73% of them have one or more citation. Old articles have higher citation index and recent articles have more altmetrics data. The relationship between this metrics is not direct and proportional, but articles with altmetrics data concentrate 61.34% of the total citations received. The multiple URLs for the same article and the qualification of altmetrics data when generated by APIs are challenges to overcome.