Evidence map›Paper›PMID 33082824›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Publications in Integrative and Complementary Medicine: A Ten-Year Bibliometric Survey in the Field of ICM.

Zuoqi Ding, Furong Li

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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.

Zuoqi DingSchool of Science, China Pharmaceutical University, Nanjing, China.ORCID https://orcid.org/0000-0003-0957-4193
Furong LiSchool of Science, China Pharmaceutical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis article aims to analyze the research status of integrative complementary medicine (ICM) and features of highly cited papers in the field to provide reference of the future development of ICM.

methodsPublications in the field of ICM from 2009 to 2018 were retrieved from the Web of Science Core Collection. The top 20 countries/territories, institutions, journals, keywords of highly cited and noncited papers, and characteristics of essential science indicator (ESI) papers, as well as open access (OA) and non-OA papers, were analyzed.

resultsMainland China had the largest number of ICM publications. The top 20 journals published a total of 31667 papers in 2009-2018, which represented 92.9% of all publications. Keywords of highly cited and noncited papers point to different research directions. 48 ESI highly cited/hot papers were identified, most of which are related to phytochemistry. Furthermore, the average citation rate (percentage of publications that have been cited one or more times) of OA papers was lower than that of total papers and non-OA papers.

conclusionsChina leads in number of publications; however, publication quality in ICM field requires improvement. A few journals accounted for more than half of number of publications and citations, which are important for the development of ICM. Many of the keywords in ICM noncited publications pointed towards broad meaning that poorly reflect the exact research content. Most highly cited ICM studies focused on the identification and evaluation of plant active components. OA may not be an effective approach to increase paper citations in the field of ICM.

Identifiers

PMID33082824
PMCPMC7559521

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.