Evidence map›Paper›PMID 31801786›Full record

ReviewEvidence-based mental health2020

Measuring an individual researcher's impact: new directions and challenges.

Morwenna Senior, Seena Fazel

Abstract readReview
In one paragraph

Review in Evidence-based mental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Morwenna SeniorDepartment of Psychiatry, University of Oxford, Oxford, Oxfordshire, UK.ORCID 0000-0003-3265-997X
Seena FazelDepartment of Psychiatry, University of Oxford, Oxford, Oxfordshire, UK seena.fazel@psych.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metrics which quantify the impact of a scientist are increasingly incorporated into decisions about how to rate and fund individuals and institutions. Several commonly used metrics, based on journal impact factors and citation counts, have been criticised as they do not reliably predict real-world impact, are highly variable between fields and are vulnerable to gaming. Bibliometrics have been incorporated into systems of research assessment but these may create flawed incentives, failing to reward research that is validated, reproducible and with wider impacts. A recent proposal for a new standardised citation metric based on a composite indicator of 6 measures has led to an online database of 100 000 of the most highly cited scientists in all fields. In this perspective article, we provide an overview and evaluation of this new citation metric as it applies to mental health research. We provide a summary of its findings for psychiatry and psychology, including clustering in certain countries and institutions, and outline some implications for mental health research. We discuss strengths and limitations of this new metric, and how further refinements could align impact metrics more closely with wider goals of scientific research.

Indexed as

BenchmarkingPsychiatryBibliometricsHumansJournal Impact Factoradult psychiatrychild & adolescent psychiatry

Identifiers

PMID31801786
PMCPMC10231616

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.