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Enregistrement W2914217904 · doi:10.4103/ija.ija_494_18

Publications in high impact journals from India in the last two years–A reality check

2018· article· en· W2914217904 sur OpenAlexaboutno aff
Summit Bloria, Ketan Kataria, Ankur Luthra, Pallavi Bloria

Notice bibliographique

RevueIndian Journal of Anaesthesia · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueHealth and Medical Research Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineImpact factorAnesthesiologyMedical journalAnesthesiaFamily medicineLawPolitical science

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION The magnitude of publication of new research has been considered as an indication of scientific productivity of a country.[1] Although the volume of new publications in the field of anaesthesia from developing countries has traditionally been meagre, the picture is slowly beginning to change. An example of this change is a 2004 study by Baretto[2] which found that scientific articles by Latin American authors had tripled between 1988 and 2001. The contribution of Indian authors to various international anaesthesia journals has been described as very minimal.[3] It is about time that the contribution by Indian authors began to increase. Although the contribution of Indian anaesthesiologists in high impact journals has been studied in the past, the exact contribution of various academic institutes to the publications has not been studied. As India is a vast country with many centres of medical research, we sought to determine the present magnitude of research activity in the domain of anaesthesia among various institutions inside India. Hence we decided to examine the volume and the type of anaesthesia publication by Indian authors in six high impact anaesthesia journals in the last 2 years. METHODS Since this was a survey, an institutional ethical committee approval was not needed. The journals we selected for our survey were on the basis of impact factor and they included the following: British Journal of Anaesthesia, Anaesthesia, Anesthesia and Analgesia, Anesthesiology, European Journal of Anaesthesiology and Canadian Journal of Anesthesia. These are the six anaesthesia journals with the highest impact factor in the field of anaesthesiology as per Journal Citation Reports (JCR) 2018. As we wanted to study only the present trends of research, we decided to collect data for the last 2 years only. We manually scanned all the articles published in the said journals for the last 2 years (beginning from August 2016 to July 2018) and sought to find all the articles in which the authors belonged to an institute in India. We accessed the websites of the respective journals and browsed all the issues uploaded from 01 August 2016 till 31 July 2018 to check the academic affiliation of the first author and to determine the contribution of Indian authors. If any paper listed more than one institution, the institutional affiliation of the first author was taken. We excluded Abstracts of meetings, book reviews and retracted articles. We sought to determine which institutions in India are contributing most to high impact anaesthesia articles. We also categorised the articles as randomised control trials, reviews, meta-analysis, case reports and case series, images, echorounds and correspondence (including letter to the editor and e-letters). RESULTS We could only find a total of 48 articles by Indian authors in these 6 journals over the last 2 years. We found 5 articles in Anesthesiology, 8 articles in Anaesthesia, 14 articles in Anesthesia and Analgesia, 4 articles in European Journal of Anaesthesiology, 4 articles in Canadian Journal of Anesthesia and 13 articles in British Journal of Anaesthesia. Upon categorising the articles according to their type, we found that the majority of the articles were in correspondence/letter to editor/e-letter section, totalling 29 in number. Randomised control trials, considered to be one of the powerful tools in terms of the quality of evidence, were just 9 in number. There was 1 review, 1 meta-analysis, 3 echo round articles and 1 editorial. There were 4 miscellaneous articles [Figure 1].Figure 1: Articles from Indian authors published in the last two years; classified as per the article type. RCTs -Randomised control trialWe tried to determine the institutions from where these articles originated and found that majority of the articles came from established institutions of the country. The highest number of articles originated from PGIMER (Chandigarh), 9 in number. This included 3 RCTs. All India Institute of Medical Sciences (Delhi) provided 5 articles. AIIMS (Jodhpur) and Medanta Medicity provided with 3 articles each. There were 2 articles each from GMC (Chandigarh), JIPMER and AIIMS (Bhubaneswar) [Table 1].Table 1: Articles published from various institutions in the last 2 yearsRest of the contributors were Tata Memorial Institute, University College of Medical Sciences (Delhi), AIIMS (Patna), Fortis (Kolkata), JIPMER, VMMC and Safdarjung Hospital (Delhi), Artemis Hospital (Gurgaon), Armed Forces Medical College (Pune), Pondicherry Institute of Medical Sciences (Puducherry), Rajiv Gandhi Cancer Institute (Delhi), Srichitra Institute of Medical Sciences (Kerala), Research and Referral Hospital (Delhi), Christian Medical College (Vellore), Vivekananda Institute of Medical Sciences (Kolkata) and others. Some articles had just mentioned the city of the authors without mentioning the institutional affiliations. DISCUSSION We found that the established institutions continue to lead the charge of new research in India. The newly established institutions, both public and private, are also contributing to new research in the country. As has been pointed out in earlier surveys, the contribution of our country to high impact anaesthesia articles remains highly inadequate.[345] On contemplating the causes for this poor contribution from our country, we could think of many possible causes. Many authors have suggested poor access to literature, lack of research training, lack of basic infrastructure, lack of incentive, poor presentation in English and bias of journals to be the reasons for poor contribution from developing countries in high index journals.[67] In addition, there are various ethical issues surrounding research in developing countries.[89] Turk et al.[10] in a study assessing the attitudes of a sample of Syrian medical students towards research observed that while most students demonstrated positive attitudes towards research, they suffered from lack of adequate training, shortage of research facilities and unavailability of research mentors. It has been suggested that medical students can be motivated to carry out research with appropriate encouragement from the administration and the faculty.[11] One finding that we could observe was that nearly all the articles came from a handful of major cities of the country. We believe this brings to light the limited access the rest of the country has, both to the recent literature as well as the new equipment and other research requirements. Articles coming from newly established institutions are a welcome step as it demonstrates increasingly greater importance being provided to research in newer areas. We ourselves, however, cannot absolve us of all the responsibilities for the present situation. Considering that there are more than 500 medical colleges in India, besides 1000 private teaching institutions with Diplomate of National Board (DNB) postgraduates, we will have to take at least some part of the blame. Do we give research adequate importance? Do we have mentors who can guide us in conducting high quality research? Do our institutions encourage research by providing all necessary help? Are the researchers given due recognition? And are we, to begin with, even genuinely interested in research? These are the questions we believe all of us seriously need to ponder over. CONCLUSION The contribution of Indian authors to high impact journals remains very low. Whatever contribution comes, it comes from a bunch of already established institutions. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,010
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,160
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,111
Tête enseignante GPT0,446
Écart entre enseignants0,335 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2018
Routes d'admission1
Résumé présentoui

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