User:Lukasz.P.Kozlowski/sandbox

fCite is free, author profiling tool launched during the summer of 2019. fCite is based on PUBMED and covers ~32 million of articles from nearly 48,601 journals in life sciences, mainly medicine, health sciences, but also in physical sciences and chemistry.

Overview
fCite provides a number of the author-level metrics that attempt to measure both the productivity and citation impact of the publications of a scientist or scholar. It's most distinctive feature is the division of the metrics (e.g., citations, RCR, H-index) by the number of authors and their position in the authorship list. After providing ORCID id or/and the list of publications (in the form of the PMID ids) accompanied by author name and surname, the tool is able to divide the scientist's portfolio into first, middle and last authorship publications. Using different contribution models (see below) it is possible to estimate the author's contribution to the given paper and in consequence scale down the metrics such as the citations accordingly. Another feature unique to fCite is a comparison of the main statistics to ~600,000 ORCID profiles that allows judging about the score importance.

Metrics
The result of the web service query contains:


 * the size of the portfolio with the time span of the publishing period,
 * the number (and the percentage) of the single, the first, the last and the middle author papers,
 * H-index,
 * M-index (H-index divided by the number of years from the first publication),
 * fH-index and fM-index (the citations are divided according the author contribution to each paper using FLEA model),
 * the average number of the papers per year,
 * the total and fractional citation and RCR scores based on FLAE, FLAE2, FLAE3, EC models (Citations, total RCR, FLAERCR, FLAE2RCR, FLAE3RCR, ECRCR, FLAEcit, FLAE2cit,FLAE3cit, ECcit, respectively),
 * the average number of the authors,
 * FLEA per year (RCR),
 * the average FLAE article score (RCR),
 * the average article impact per year (RCR),
 * the ratio between FLAERCR and total RCR and the expected value,
 * sortable table for individual publications with PMID, year, title, authors, article-type,journal, and FLAERCR, FLAE2RCR, FLAE3RCR, ECRCR, FLAEcit, FLAE2cit, FLAE3cit, ECcit, Citations, total RCR scores.

Fractional contribution models of the authorship
Four, different models had been used to assess the author contribution:


 * FLAE (first-last-author-emphasis) model is based on Tscharntke et al. 2007 definition with slight modifications. The contribution of individual authors can be described briefly as "the first author gets 100, the last 50, and all others 100/number-of-authors and then scores are normalized to 1". This model gives the strongest weights to the first and the last author penalizing middle authorship.
 * FLAE2 model is based on Corrêa Jr. et al. 2017. This is empirical model based on the authorship contribution for the mega-journal PLoS ONE (~65,000 publications). On average this model is more benign for middle authors. Additionally, this  model is  asymmetric, i.e. middle author weights depends on the position, the closer to the first author, the better are weights for middle author (up to 10th author).
 * FLEA3 model is a simple variation of FLAE model, but the contribution of individual authors is more equal. It can be shortly described as "the first author always get at least three times more than other co-authors, and the last author at least two times more than co-authors".
 * EC (equal contribution) model assumes that each author contributed equally to given work.