Researchgate (RG) Score While using Researchgate platform for a while, I could not understand how the change of the RG score is carried out. For example, after my first paper RG=1. Afterwards, it became 0.99. Then, after the second paper, RG=1.13. Few days after it became 1.12.
Do you have any idea how this change is carried out? What is the issue behind the score decrease?
While ResearchGate provides some rough hints on their support pages (see @GoodDeeds's comment), the details of how the RG score is computed are not publicly disclosed.
Relevant article from the London School of Economic's Impact Blog: The ResearchGate Score: a good example of a bad metric

One of the most apparent issues of the RG Score is that it is in-transparent. ResearchGate does present its users with a breakdown of the individual parts of the score, i.e., publications, questions, answers, followers (also shown as a pie-chart), and to what extent these parts contribute to your score. Unfortunately, that is not enough information to reproduce one’s own score. For that you would need to know the exact measures being used as well as the algorithm used for calculating the score. These elements are, however, unknown.
ResearchGate thus creates a sort of black-box evaluation machine that keeps researchers guessing, which actions are taken into account when their reputation is measured. This is exemplified by the many questions in ResearchGate’s own question and answering system pertaining to the exact calculation of the RG Score. There is a prevalent view in the bibliometrics community that transparency and openness are important features of any metric. One of the principles of the Leiden Manifesto states for example: “Keep data collection and analytical processes open, transparent and simple”, and it continues: “Recent commercial entrants should be held to the same standards; no one should accept a black-box evaluation machine.” Transparency is the only way measures can be put into context and the only way biases – which are inherent in all socially created metrics – can be uncovered.