Evidence map›Paper›PMID 42125583›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Challenges in Academic Authorship and Citation Metrics: Navigating Inflation, Biases, and the Rise of Evidence Synthesis.

Sudip Bhattacharya, Samiksha Bhattacharjee, Sunil Kumar Panigrahi, Ananda Datta, Soumi Kundu, Indranil Das, Anirban Ganguly

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sudip BhattacharyaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Samiksha BhattacharjeeDepartment of Pharmacology, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Sunil Kumar PanigrahiDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Ananda DattaDepartment of Pulmonary Medicine, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Soumi KunduDepartment of Pediatrics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Indranil DasDepartment of Transfusion Medicine and Blood Bank, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Anirban GangulyDepartment of Biochemistry, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines the challenges in academic publishing related to authorship inflation, citation bias, and the overreliance on quantitative metrics to evaluate research impact. Authorship inflation, including "gift authorship," occurs when individuals with minimal contributions are listed as co-authors, often due to institutional or political norms, inflating academic profiles without reflecting actual input. The study also discusses how citation patterns differ across disciplines, with high-citation fields like biomedical sciences benefiting from larger, faster publications, while researchers in humanities or social sciences may be overlooked despite producing impactful work. The "Matthew Effect" further exacerbates this disparity as highly cited researchers continue to accumulate citations regardless of their contributions. Geographical and institutional biases also play a role, with researchers from high-income countries or prestigious institutions often receiving more recognition than those from low-income regions. The paper highlights how large collaborative works, such as the Human Genome Project or COVID-19 studies, can distort citation metrics and create inequalities in recognition. It proposes solutions such as transparent authorship roles, normalized citation metrics, and focus on qualitative assessments in hiring and promotion processes to address these issues and promote a more equitable academic environment.

Indexed as

Authorshipbiasescitation metricsevidence synthesis

Identifiers

PMID42125583
PMCPMC13160200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.