Evidence map›Paper›PMID 26929924›Full record

ArticleBioImpacts : BI2015

Network of nanomedicine researches: impact of Iranian scientists.

Mohammad-Hossein Biglu, Shukuh Riazi

Abstract read
In one paragraph

Article in BioImpacts : BI, 2015. 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

2 authors.

Mohammad-Hossein BigluDepartment of Basic Sciences, Paramedical Faculty, Tabriz University of Medical Sciences, Tabriz, Iran.
Shukuh RiaziMedical Library and Information Science, Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe may define the nanomedicine as the use of nanotechnology in the health care, disease diagnoses and treatment in order to maintain and increase the health status of a population through improve pharmacotherapy. The main objective of the current study is to analyze and visualize the co-authorship network of all papers in the field of nanomedicine published throughout 2002-2014 in journals and indexed in the Web of Science database.

methodsThe Web of Science database was used to extract all papers indexed as a topic of nanomedicine through 2002-2014. The Science of Science Tool was used to map the co-authorship network of papers.

resultsTotal number of papers extracted from the Web of Science in the field of nanomedicine was 3092 through 2002-2014. Analysis of data showed that the research activities in the field of nanomedicine increased steadily through the period of study. USA, China, and India were the most prolific countries in the field. The dominant language of publications was English. The co-authorship connection revealed a network with a density of 0.0006.

conclusionNanomedicine researches have markedly been increased in Iran. Ninety-five percent of Iranian papers were cooperated with multi-authors. The collaboration coefficient degree was 0.731.

Indexed as

Co-authorshipNanomedicineScientific analysisWeb of Science

Identifiers

PMID26929924
PMCPMC4769790

What OpenQuestion holds

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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.