Title of article :
Co-Authorship Patterns and Networks in Pharmacology and Pharmacy in Iran
Author/Authors :
Rahimi Forough نويسنده , Kazerani Maryam نويسنده Department of Library and Information Science, Science and research Branch , Shekofteh Maryam نويسنده Department of Library and Information Science, Science and Research Branch , Zayeri Farid نويسنده Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran , Karimi Mostafa نويسنده Department of Medical Library and Information Sciences - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences
Abstract :
پژوهش حاضر به بررسي همكاري هاي علمي و تحليل شبكه هاي هم تاليفي در پژوهش هاي داروسازي و داروشناسي ايران مي پردازد. پژوهش با رويكرد علم سنجي انجام مي شود. دادهها شامل كليه مقالات داروسازي و داروشناسي ايران در نمايه استنادي علوم بين سال هاي 2003 تا 2014 است. داده ها با كمك بخش تحليل پايگاه وب آو ساينس و نرم افزارهاي اكسل و اس پي اس اس انجام شد و ترسيم و تحليل شبكه ها با كمك نرم افزارهاي سايت اسپيس و گفي صورت گرفت. الگوي هم نويسندگي غالب در اين سال ها، الگوي چهار نويسندگي و شاخص همكاري 49/4 ، درجه همكاري 96/0 و ضريب همكاري 691/0 است. چگالي به دست آمده براي شبكه هاي هم تاليفي (3/0) وميانگين ضريب خوشه اي 306/0 است. عليرغم اينكه شاخص همكاري در حوزه داروشناسي و داروسازي نسبت به ساير حوزه ها بسيار بالاتر است ولي ميانگين كل چگالي شبكه ها حاكي از گسستگي زياد شبكه هم تاليفي است.
Abstract :
This study aimed at investigating scientific collaboration and analyzing coauthorship networks in pharmacology and pharmacy research studies in Iran. Data
used for this scientometric study included all pharmacology and pharmacy
documents of Iran, indexed in Web of Science (WOS) from 2003 to 2014 and were
analyzed using citation analysis section of WOS and Excell and SPSS. Citespace,
and Gephi softwares were used for visualization and analysis of co-authorship
network. The dominant co-authorship pattern was four-author pattern, with
collaboration index, degree of collaboration and collaboration coefficient of 4.49,
0.96 and 0.691 respectively. The obtained density for co-authorship network and
the clustering coefficient mean were 0.3 and 0.306 respectively. Despite the fact
that the collaboration index in the field of pharmacology and pharmacy was much
greater compared to other fields, the networksʹ total average density signified a
great sparseness of co-authorship network. The clustering coefficient mean
indicated that the network membersʹ tendency towards forming different clusters
was relatively low. There was no meaningful relationship between collaboration
index and the number of productions as well as collaboration index and the citation
impact. Authors indicated a greater tendency towards co-authorship. It is
recommended that senior officials in scientific communities pay more attention to
scientific collaboration activities, allocation of budget and appropriate facilities,
and providing suitable circumstance to encourage more collaboration. It is
recommended also, researchers pay more attention to constant team working with
colleagues and students.
Journal title :
Astroparticle Physics