Intellectual and Social Predictors of Citations to          Scientific Articles
{'Code': '04050200', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'Shelton White', 'PO_EMAI': None, 'PO_PHON': None}
This project examines the relative importance of social and                     intellectual factors in the distribution of influence or recognition in         diverse segments of the scientific community.  The unit of analysis is          not the individual scientist, but the basic element of the                      communication system:  the scientific article.  Since articles contain          the intellectual contributions in science, the study of their                   characteristics provides a means of uniting several of the divergent            approaches used in the sociology of science.  In a regression analysis          used  to predict citations to scientific articles, the predictor                variables will be classified into two categories:  author (social)              variables and article content (intellectual) variables.  The relative           importance of these two sets of variables will be examined in several           different research areas, which vary in their levels of intellectual            integration.
{'FirstName': 'John', 'LastName': 'Stewart', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John A Stewart', 'EmailAddress': None, 'NSF_ID': '000326534', 'StartDate': '08/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of Hartford', 'CityName': 'WEST HARTFORD', 'ZipCode': '061171545', 'PhoneNumber': '8607685938', 'StreetAddress': '200 BLOOMFIELD AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'CT01', 'ORG_UEI_NUM': 'G1HAYR9Y1FJ9', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF HARTFORD', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1331', 'Text': 'Sociology'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8706348.xml'}