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Neurotree: Academic Family Tree

An academic genealogy platform that collects information about graduate students and posdoctoral research connections. The Neuroscience Academic Family Tree is a free, volunteer-run website designed to help you track your academic genealogy. Our goal is to collect information about the graduate student and postdoctoral connections between most researchers in the field. :How do I navigate the tree? :There are several ways to wander around Neurotree. The basics are summed up in the commands at the top of each page: :* Tree - Jump to a random node on the tree :* Search - Search for a specific person or people at a specific institution :* Recent additions - List the most recent additions :* Distance - Trace the connection between two people in the tree :* Add person - Add a new person to the tree (and be a good citizen!). You must sign up for an account to make additions. :* Analysis - Learn more amazing facts about neurogenealogy! ... and possibly something about the field of neuroscience.

URL: http://neurotree.org/neurotree/

Resource ID: nif-0000-00383     Resource Type: Resource     Version: Latest Version





Additional Resource Types

People Resource



Original Submitter


Version Status


Submitted On

12:00am September 21, 2010

Originated From


Changes from Previous Version

  • Description was changed
  • Additional Resource Types was changed

Version 2

Created 2 months ago by Christie Wang

Version 1

Created 5 years ago by Anonymous

Neurotree: a collaborative, graphical database of the academic genealogy of neuroscience.

  • David SV
  • PLoS ONE
  • 2012 16

Neurotree is an online database that documents the lineage of academic mentorship in neuroscience. Modeled on the tree format typically used to describe biological genealogies, the Neurotree web site provides a concise summary of the intellectual history of neuroscience and relationships between individuals in the current neuroscience community. The contents of the database are entirely crowd-sourced: any internet user can add information about researchers and the connections between them. As of July 2012, Neurotree has collected information from 10,000 users about 35,000 researchers and 50,000 mentor relationships, and continues to grow. The present report serves to highlight the utility of Neurotree as a resource for academic research and to summarize some basic analysis of its data. The tree structure of the database permits a variety of graphical analyses. We find that the connectivity and graphical distance between researchers entered into Neurotree early has stabilized and thus appears to be mostly complete. The connectivity of more recent entries continues to mature. A ranking of researcher fecundity based on their mentorship reveals a sustained period of influential researchers from 1850-1950, with the most influential individuals active at the later end of that period. Finally, a clustering analysis reveals that some subfields of neuroscience are reflected in tightly interconnected mentor-trainee groups.