You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Faculty in certain departments are far more likely to publish in journals associated with one or two specialties compared to another. For example, Weill Cornell faculty in Orthopaedic Surgery are 200 times more likely to author papers in journals assigned to the "Orthopedics" subfield/category (as assigned by ScienceMetrix) compared to random chance. We can take advantage of this during scoring.
While there are tens of thousands of combinations between department and subfield, only 100 departments-subfield combinations represent 57% of all known WCM publications. For full validity, we would need to evaluate this approach in other institutions.
Preprocessing
As a one-time thing, we need to create two new static tables into DynamoDB.
Get identity.organizationalUnits for targetAuthor. Include all types including programs.
Look up any department synonyms in application.properties. For example:
departmentSynonym: Healthcare Policy & Research|Public Health|Health Care Policy & Research, Radiation Oncology|Radiation for Oncology, Otolaryngology - Head and Neck Surgery|Otolaryngology|Otorhinolaryngology
For example, support a user has known department of "Public Health", we would need to look in ScienceMetrixDepartmentCategory for departments matching "Healthcare Policy & Research" and "Health Care Policy & Research."
Does ISSN exist in the ScienceMetrix table? Check the following possible matches:
Faculty in certain departments are far more likely to publish in journals associated with one or two specialties compared to another. For example, Weill Cornell faculty in Orthopaedic Surgery are 200 times more likely to author papers in journals assigned to the "Orthopedics" subfield/category (as assigned by ScienceMetrix) compared to random chance. We can take advantage of this during scoring.
While there are tens of thousands of combinations between department and subfield, only 100 departments-subfield combinations represent 57% of all known WCM publications. For full validity, we would need to evaluate this approach in other institutions.
Preprocessing
As a one-time thing, we need to create two new static tables into DynamoDB.
Scoring
Get all ISSNs from article.
Get identity.organizationalUnits for targetAuthor. Include all types including programs.
Look up any department synonyms in application.properties. For example:
For example, support a user has known department of "Public Health", we would need to look in ScienceMetrixDepartmentCategory for departments matching "Healthcare Policy & Research" and "Health Care Policy & Research."
**
Multiply logOddsRatio by some factor as stored in application.properties:
Output the following:
If there are multiple matches because a user has multiple departments (infrequent but may occur), choose the highest scoring one.
The text was updated successfully, but these errors were encountered: