Examples
Worked examples
- Is an instance
A study section's five voting reviewers independently score an R01 application's overall impact at 2, 2, 3, 2, and 3; NIH averages these (2.4) and multiplies by 10, producing a final overall impact/priority score of 24.
- Is an instance
Two applications reviewed by the same study section receive identical impact scores of 25, but because one study section's comparison group (its last three meetings) scored more applications more favorably overall than the other's, the two applications convert to different percentile ranks -- illustrating why the percentile, not the raw score, is what gets compared against a payline.
Counter-examples
Looks similar, but isn't
- Not an instance
An application a study section marks 'not discussed' because it was projected to fall in the lower half of that meeting's range receives no overall impact/priority score at all -- only its reviewers' individual pre-meeting criterion scores appear on the summary statement, so there is no score to convert into a percentile.
- Not an instance
A fellowship or other non-percentiled award mechanism that receives an overall impact score but no percentile rank is not missing data by error -- some mechanisms and small comparison groups are scored but deliberately not percentiled under NIH policy.
Editorial commentary
An NIH priority score (also called the overall impact score) is the numerical merit rating a study section assigns to a grant application after initial peer review. Each voting reviewer independently scores the application’s likely scientific impact on a 1.0-9.0 whole-number scale, where 1 is exceptional and 9 is poor; those individual scores are averaged and multiplied by 10, producing a final impact/priority score reported in whole numbers from 10 (best) to 90 (worst). That score is then typically converted into a percentile rank before it reaches the funding institute. This entry covers the scoring and percentiling mechanics specifically — see CASRAI’s NIH Study Section entry for how the reviewing panel itself is convened and assigned, and the NIH Payline entry for how a percentile is actually used in a funding decision.
How the raw 1-9 scores become an impact score
During review, each assigned reviewer on a study section privately assigns a whole-number score from 1 to 9 across the required scored review criteria (for an R01, typically Significance, Investigator(s), Innovation, Approach, and Environment) and an overall impact rating reflecting the application’s likelihood of exerting a sustained, powerful influence on its research field, regardless of how any individual criterion scored. Only reviewers who are voting members on that application — generally the assigned reviewers plus other eligible panel members present for its discussion — submit a final overall score. NIH’s Center for Scientific Review (CSR) averages every voting reviewer’s overall impact score and multiplies the average by 10, yielding the application’s overall impact score, reported to one decimal place in the 10-90 range, where a lower number is better. “Priority score” and “overall impact score” are used interchangeably in NIH’s own guidance and by research administrators; some older NIH documentation uses “priority score” specifically.
Not every application discussed gets scored the same way
Before scoring, study sections triage which applications get full discussion at the meeting. Applications projected to fall in the lower half of the range for that meeting are commonly not discussed at all — marked “ND” (not discussed) on the summary statement — and receive no overall impact score, only the individual criterion scores each reviewer submitted before the meeting. Only applications that are discussed at the meeting receive a final overall impact score, because that score reflects the panel’s collective, post-discussion vote, not merely an average of pre-meeting individual scores.
How a percentile rank is calculated from the impact score
For study sections and mechanisms where percentiling applies, NIH converts the discussed application’s impact score into a percentile rank: its position, expressed on a 0.0-100.0 scale, relative to all applications scored by that same study section (or a defined comparison group of related study sections) at its three most recent meetings, with a lower percentile indicating a stronger relative ranking. Because the percentile is computed against a rolling three-meeting comparison group rather than against all NIH applications everywhere, the same raw impact score can convert to different percentiles at different points in the funding cycle, or across different study sections reviewing different volumes and distributions of applications.
Percentiled vs. non-percentiled review
Not every application receives a percentile. NIH generally does not calculate a percentile when a study section or comparison group reviews too few applications in the relevant meetings to make a percentile ranking statistically meaningful, and by policy certain award mechanisms and review groups are scored but not percentiled at all — these applications are reported with an overall impact score and no percentile. Because which mechanisms and study sections are percentiled can vary by awarding institute, applicants and administrators should confirm current practice against the specific study section’s or funding opportunity’s own guidance rather than assume percentiling applies uniformly.
What happens after scoring: from score to funding decision
The priority score and, where applicable, percentile appear on the application’s summary statement after study section review — the first of NIH’s two required levels of review. The funding institute’s advisory council then conducts a second-level programmatic review, and the institute compares the application’s percentile (or, for non-percentiled applications, its impact score) against that fiscal year’s payline or other funding-priority criteria to make the actual award decision. A strong priority score and percentile are necessary but not sufficient for funding: institutes retain discretion to fund some applications outside a published payline (select pay/exception pay) and to decline others inside it, based on programmatic priorities and available budget.
NIH priority score vs. related terms
- Priority score / overall impact score — the panel’s averaged, ×10 merit rating for a discussed application, 10 (best) to 90 (worst).
- Percentile rank — the impact score’s relative position against a rolling three-meeting comparison group of applications from the same or related study sections, where percentiling applies.
- Payline — the funding institute’s own percentile (or, at some institutes, impact score) threshold, set per fiscal year, used as a funding-expectation guideline. See CASRAI’s NIH Payline entry.
- Not discussed (ND) — an application triaged out of full discussion, typically in the lower half of the projected range, receiving no overall impact score.
Frequently asked questions
Is a priority score the same thing as an impact score?
Yes — NIH and research administrators use “priority score” and “overall impact score” interchangeably for the same 10-90 rating a study section assigns a discussed application; “priority score” is the older term.
What is a good NIH priority score?
Because the score is only meaningful relative to that meeting’s comparison group and the funding institute’s current payline, there is no single universal “good” number — a given raw score can fall inside one institute’s funding range and outside another’s. Its percentile rank, compared against the relevant institute’s current payline, is the more useful reference point than the raw score alone.
Why didn’t my application get a priority score?
Applications a study section does not select for full discussion at the meeting — commonly those projected to fall in the lower half of the range — are marked “not discussed” and receive no overall impact score, only the individual criterion scores submitted by reviewers before the meeting.
Why do some applications get a priority score but no percentile?
NIH does not calculate a percentile where the comparison group of applications reviewed is too small for the ranking to be statistically meaningful, and some award mechanisms and study sections are scored but not percentiled by policy. Confirm current practice with the specific study section or funding opportunity.
How does a priority score turn into an actual funding decision?
The score (and percentile, where calculated) appears on the summary statement after study section review. The funding institute’s advisory council conducts a second-level programmatic review, and the institute then weighs the percentile or score against its current fiscal-year payline and program priorities to decide whether to fund the application.
References
- NIH eRA Commons, “View Review Outcome” — overall impact score calculation (average of voting reviewers’ scores, ×10) and percentile methodology (ranking against the same study section’s applications at its last three meetings).
- National Institute of Mental Health, “What Your Score Means” — score range (10-90), competitive percentile ranges, and the existence of “priority score and no percentile” outcomes.
- National Institute of Neurological Disorders and Stroke, “Scoring and Summary Statements” — not-discussed applications and summary statement contents.
Machine-readable encodings
Use in your systems
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