Help / Frequently asked questions
What is Neurotree?
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 relationships between most researchers in the field. This tree exists as a part of the larger Academic Family Tree, which seeks to build a genealogy across multiple academic fields.
What's new on Neurotree?
You might notice that the appears of the site has changed. We've updated the interface in an attempt to make it more attractive and easier to use. We're also working methods for linking researchers in the tree to their publications. We have also started experimenting with methods for measuring similarity between researchers based on the content of their publications, accurate inasmuch as publications are properly assigned to their authors. This information is currently overlaid on the tree display in the beta test site.
Unfortunately, along the way, it's possible that an occasional bug or confusing feature has been introduced. If you notice anything that needs to be fixed or improved, please report bug/errors here. And keep an eye out for further improvements down the road!
These updates are possible thanks to a grant from the Metaknowledge Network.
- 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.
Where does the information on this site come from?
Neurotree was created and is maintained by two academic siblings (Stephen David and Ben Hayden). Since its inception, however, the tree has grown largely from the knowledge of visitors to the site (like you!). We try to keep things accurate and hope contributors will do the same.
How do I add new information?
Sign up for an account. Then you will be able to contribute information to the site. To add a new person, click "New Person" on the top naviation bar. To add a new connection to an existing person, click "New Child" or "New Parent" on their info page.
How do I sign up?
Click here to sign up for a new account. You will have to provide a username and a password. This will give you permission to add new information.
How do I edit my information?
After you sign up for an account, you will be able to link your account to your own node, even if it was already entered by another user. If you skipped the account linking step during the initial sign-up, you can take care of it by clicking on "My node" at the bottom of the page after logging in.
Why isn't there a tree for my field?
Because you haven't started one yet! It's easy. This tree is just one in the Academic Tree project. Just send us an email and we'll tell you what's involved in setting up a tree that focuses on your field of research.
What if I find a mistake?
Try to fix it yourself. Once users are logged in, they can edit their own tree entry as well as any other entries they have made. We protect other entries from editing to prevent vandalism. If you can't fix the error yourself, you can click on a "report error" link and send us an email with the relevant info. Alternatively, if you'd like to fix errors yourself, you can request to be a site editor.
How do I become a site editor?
We'd love to have your help! Send an email to admin at neurotree dot org asking for editor privileges for your account. This will allow you to edit all the existing entries on the site and help us manage error reports submitted by other users.
Can I print out a tree that looks nice?
Print quality varies with browsers. We have had decent luck with Firefox. Hopefully someday we will develop a cleaner system for printing. In the mean time, this is what works best:
- Click to the desired tree page
- Choose the smallest size from the display options.
- Go to the browser page setup/print options window and choose a) landscape, b) shrink page to fit, c) margins as small as possible and d) print background colors and images
- Try printing. If you want to get rid of the headers, print to a pdf and edit them out.
Where did the Neurotree logo come from?
The logo was designed by our colleague Michael Wu. Says Michael, "Neuroscience is a young field, but it has deep roots that fathomed great minds for centuries." The original picture can be found here.
Who owns the data in the tree?
The data are owned by academictree.org, but they are shared under the Creative Commons License (CC-BY 3.0). You may use the data in the tree however you want, as long as you attribute the source, neurotree.org.
What about privacy?
We have no interest in annoying or taking advantage of users who have generously donated their time to this effort. To that end, we will not share personal information (i.e., email addresses) with any commercial interests. The information that is displayed (name, institutional affiliation, home page, photo, mentor, etc.) is presumed to already be public knowledge. However, if you wish to have any information about you removed from the site, contact the administrator (admin at neurotree dot org), and we will respond promptly.
How do you identify researchers' publications?
Publications data are drawn from two databases: Medline and Scopus. Because of the large number of researchers with the same name, a disambiguation algorithm is required to accurately link researchers to papers they have authored. We match authors to papers using a two-step process. First, we identify candidate publications based on a simple string match between researcher name and the author list. Second, we look for overlap between co-authors and other individuals in the researcher's mentor network (trainees, mentors, collaborators, etc), and label publications with overlap as high-probability matches. Thus a complete family tree is likely to produce more accurate publication matches.
How do you measure similarity between researchers?
Latent semantic analysis is used to describe each publication abstract as a vector in a 400-dimensional space. Reseacher similarity is then measured by the distance between the average publication vector for each researcher.
How do you calculate "mean distance"?
where d(a,b) is the number of steps between people a and b. Averaging the inverse distance allows us to include unlinked people (d(a,b)=infinity) in the calculation. An analysis of mean distance for the whole tree can be found here.
Who is user "pq"?
Since 2001, the ProQuest dissertation database has documented the advisor associated with each doctoral dissertation in their system. We used this data to populate a large number of nodes in the system, and these additions are labeled as having been made by user "pq". Trainees and mentors for existing Academic Tree data were filled in based on name and institutional affiliation matches to the ProQuest data. We tried to be conservative and make only high-confidence matches to existing data, but there are likely to be some errors. If you do notice an error by pq, please don't get angry, but please do file an error report.
Can Neurotree tell me my Erdos number?
No. The Erdos number is based on coauthored publications. Links in this tree are based on mentorship relationships. These include graduate students, research assistants, and post-docs. Although students and their mentors often co-publish, there is not a strict relationship between the two. If you are interested in calculating your Erdos number, a good place to begin is here: http://www-users.med.cornell.edu/~jdvicto/erdos.html.
Are there other sites or resources like this?
Neurotree represents one discipline in the larger Academic Family Tree. If we are missing a tree for your field, you are welcome to start one! Please contact us at admin at neurotree dot org to learn more.
Elsewhere on the internet, we have located some similar projects, both large and small:
- The Mathematics Genealogy Project (a big one)
- Family Tree of Trade Economists (more focused but thorough)
- Brown University planetary geology family tree (a smaller one)
- Here's a diagram of relations between participants in the 2001 Cold Spring Harbor course on computational vision (contributed by Tony Movshon).
If you know of any other relevant links, let us know, and we'll add them to the list!