Article Contents

Overview

iSearch Analytics includes disambiguated people profiles, which can be accessed from the grant record and literature datasets. You can get to a profile by clicking on a person's hyperlinked name in the Associated People tab or record view. The profiles enable you to see a consolidated view of the person’s grant and publication history along with a variety of summary statistics and productivity metrics.

Associated People

Record View

Person Profile

In the main header of the Person Profile, you will find data that have been captured for this person, including:

The best name of the individual is shown in large blue text at the top of the Person Profile window. This is the standardized name identified in the disambiguation algorithm.
OPA Person Identifier (OPA ID): Unique identifier for an individual generated by OPA's name disambiguation algorithm.
PI ID: A unique identifier, or ID, for each of the project Principal Investigators (PI). Each PI in the database has a unique identifier that is constant from project to project and year to year. However, note that changes may be observed for investigators who have had multiple accounts in the past, particularly for those associated with contracts or sub-projects.
Other names: Shows the names found for the person across the datasets. For example, a person may use a different variation of their name on grant applications and publications, or publications may appear with and without a middle initial.
Latest organization(s): This is the latest organization found for the disambiguated person. If the PI has grants, it will show the latest organization from the most recent grant. If the person has no grants, it will show the organization from the latest paper if the paper was published after 2014.
Publications and preprints: The top value is the total number of publications that have been linked to this person. The number of additional preprints is indicated under this value.
- To see the publication productivity and translation statistics of your papers, click on the iCite button. This will show you iCite metrics for the publications and visualize influence, translation and citation data. Learn more about how to analyze in iCite.
Grants: Shows the number of grant awards along with the earliest and latest award year.

Update Frequency:

Data	Source	Updates
Literature	PubMed	Daily except for citation data, which are updated monthly
Literature	Preprints	Weekly
Grants	RePORTER	Weekly

Enrichments:

Literature affiliations are normalized to their preferred form.
PI Organizations and Grant Organizations are normalized to their preferred form.
Disambiguation is used to handle author name variations.

Linkages

Processes for linking literature and grants to people include matching publications to grants, grants to people, and publications to people. Linkages are made based on both traditional SPIRES links and name disambiguation. See the methodologies and criteria below for more detail:

Linkage	Description
Grant-Person	Grant records are linked to a person based on the Contact PI. Grant records are analyzed, and a citation resolution algorithm is used to resolve PMIDs from grant records to create the publication-grant linkages.
Publication-Person	Literature is linked to a person based on publication-grant linkages and disambiguation. Preprints can also be found in person profiles, and these are added based on name disambiguation.
Publication-Grant	Grant records (awards) are linked to literature via SPIRES* and include match case 3.5 and higher (match case 4,5). Match case 3.5 is a SPIRES match case 3 where the PI name matches an author name on the publication. Awards must be linked to publications in or after the fiscal year of the award via the core grant number on the SPIRES link. Awards linked to publications in the fiscal year of the award are based on disambiguation. Awards linked to publications in or after the fiscal year of the award are based on name matched SPIRES links (match case 3.5, 4, 5). All PIs on the application are considered.

* Learn more about SPIRES and match cases.

Literature

This Person Profile tab will capture any literature linked to an individual. The total results on the tab will include both publications and preprints. The subheader for the table shows the options/metrics:

View in Literature dataset: This will transfer your people results to the literature dataset where you can interact with the topic explorer visualization and apply filters to refine your results. 
Number of preprints: Shows the total number of preprints included in the total literature count on the tab. Preprints may be peer reviewed but do not follow the same procedures peer-reviewed journal articles must adhere to. If a person doesn't have any preprints, it will show ‘No preprints’.
% NIH funded: The percentage of a person's publications (excluding preprints) that are linked to an NIH grant using publication and person linkages. See more on disambiguation and data linkages.  
Average RCR: The mean Relative Citation Ratio (RCR) for their publications. This is the sum of RCR values divided by the number of publications with an RCR, i.e., it will exclude publications from the most recent years that do not meet the criteria for RCR calculation (5+ citations). Read more about the RCR methodology.
Weighted RCR: This is the sum of the RCRs within the individual’s profile. This weights the articles by their influence relative to NIH-funded papers. A highly influential set of articles will have a higher Weighted RCR than Total Pubs, while a set of articles with below-average influence will have a lower Weighted RCR than Total Pubs. Read more about weighted RCR.
Average APT: The average (mean) APT (Approximate Potential to Translate) of the literature attributed to this person. APT is a machine learning-based estimate of the likelihood that a paper will be cited in later clinical articles. The value will be a percentage with a higher value implying more likelihood of citation. Learn more about APT scores.

Grant Records

This Person Profile tab will capture any grants that have been awarded by HHS agencies, sourced from NIH RePORTER, where the person is a principal investigator (PI). The total results on the tab will include any award associated with that grant. The number of core (unique) projects is indicated in the subheader, along with other options/metrics:

View in Grants dataset: This will transfer your people results to the Grant Records dataset where you can interact with the topic explorer visualization and apply filters to refine your grant results. 
Grants (Core Projects): This is a sum of the unique awarded grants linked to this person. The table below captures all years/applications the grant was supported.
% Human MeSH: Percentage of the person’s grant records considered human based on human MeSH terms appearing within the grant record. Learn more about human MeSH Plus and MeSH terms.
% Extramural Research: Percentage of the person’s grant records considered as extramural research, based on activity codes/mechanisms (research project grants, or PRGs). Learn more about research grants.
% Training: Percentage of the person’s grant records that are training focused, based on activity codes/mechanisms (F, T, and K, primarily).