Search Article 
 
Advanced search 
Official publication of the American Biodontics Society and the Center for Research and Education in Technology
Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 


 
 Table of Contents  
EDITORIAL
Year : 2017  |  Volume : 8  |  Issue : 1  |  Page : 1-2

Dental research output in twittersphere


Independent Research Scientist, Founder and Managing Editor of Dental Hypotheses, Isfahan, Iran

Date of Web Publication14-Mar-2017

Correspondence Address:
Jafar Kolahi
N0 24, Faree 15, Pardis, Shahin Shahr, Isfahan - 83179 18981
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/denthyp.denthyp_3_17

Rights and Permissions

How to cite this article:
Kolahi J. Dental research output in twittersphere. Dent Hypotheses 2017;8:1-2

How to cite this URL:
Kolahi J. Dental research output in twittersphere. Dent Hypotheses [serial online] 2017 [cited 2017 Mar 28];8:1-2. Available from: http://www.dentalhypotheses.com/text.asp?2017/8/1/1/202024

Twitter is a free online news and social networking and microblogging service where users post and interact with short message called “tweets” that can have a long-term influence on how researchers create and publish innovative ideas.[1] As of March 2016, Twitter had more than 310 million monthly active operators. Nowadays, Twitter is an important, rapid, and influential scholarly tool that can intensify the scientific and social impact of research findings.[2] It has been shown that:


  1. In medical and biological sciences, robust relationship exists between the number of tweets and citation counts.[3]


  2. Twitter can be used to predict highly cited articles in the first 3 days of publication.[4]


  3. Among general medical journals, number of Twitter followers is strongly related to its impact factor and citations.[5]


Results of a recent survey has shown that Twitter is the most popular social media among dental researchers.[6]

On February 6 2017, dental literature was investigated with PubMed query “1800/1/1”[PDAT]: “2016/12/31”[PDAT] AND jsubsetd[text].

A total of 580,838 records were found, of which only the most recent 25,000 results were considered in this investigation. To find and analyze tweets, Altmetric database (Altmetric LLP, London, UK) was used. There were 24,534 tweets about this content by 5300 unique tweeters in 101 countries ([Figure 1],[Figure 2]). As seen in [Figure 1], the number of tweets increased apparently since 2015. The United States and United Kingdom have the most number of tweets and unique tweeters ([Figure 2]; [Table 1]). Results of this investigation confirmed the findings of a previous survey[6] that Twitter is the most popular social media in dental research ([Figure 1]), while in general, Facebook had the first rank in 2016.[7]
Figure 1: Number of tweets related to the most recent 25,000 dental articles. Also, the number of tweets compared with number of posts in Facebook and Google+

Click here to view
Figure 2: Geographical breakdown of 24,534 tweets related to the most recent 25,000 dental articles

Click here to view
Table 1: Ten top countries with the highest number of tweets

Click here to view


Unfortunately, demographic breakdown of the Tweets to illustrate the origin of tweets (members of the public, practitioners, scientists and science communicators) was not possible in this investigation because of technical limitations.

Despite several advantages of Twitter as a new and rapid scholarly tool to disseminate and discuss research findings,[8] dental research scientists must be careful of its overuse. The Kardashian-index would be a useful tool in this regard. It is a simple quantification of the over, or under, activity of a research scientist on social media, which is calculated using Hall’s equation:[9]

K Index = F(a)/(43.3 C0.32)

where, F(a) is the number of Twitter followers, and C is the number of citations on Web of Science.

If Kardashian-index gets above 5, then it is high time to get off Twitter and write scientific articles. Interesting examples are available at The top 50 science stars of Twitter.[10] Also, modifications of Kardashian-index are available which used Google Scholar citation data.[11],[12]

If you would like to debate this topic further, please follow us on: https://twitter.com/dentalhypothese

Acknowledgments

We would like to thank Mrs. Stacy Konkiel from Altmetric LLP (London, U.K) for her valuable assistance.

 
  References Top

1.
Darling ES, Shiffman D, Côté IM, Drew JA. The role of Twitter in the life cycle of a scientific publication. Peer J Prepr 2013;1:e16v1.  Back to cited text no. 1
    
2.
Kolahi J. Altmetrics: A new emerging issue for dental research scientists. Dent Hypotheses 2015;6:1.  Back to cited text no. 2
  [Full text]  
3.
Thelwall M, Haustein S, Larivière V, Sugimoto CR. Do altmetrics work? Twitter and ten other social web services. PLoS One 2013;8:e64841.  Back to cited text no. 3
    
4.
Eysenbach G. Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J Med Internet Res 2011;13:e123.  Back to cited text no. 4
    
5.
Cosco TD. Medical journals, impact and social media: An ecological study of the Twittersphere. CMAJ 2015;187:1353-7.  Back to cited text no. 5
    
6.
Kolahi J, Khazaei S. Altmetric: Top 50 dental articles in 2014. BDJ 2016;220:569-74.  Back to cited text no. 6
    
7.
Top 15 Most Popular Social-Media Sites | Infographic. https://plugingroup.com/top-15-popular-social-media-sites-november-2016. [Last accessed on 6 Feb 2017].  Back to cited text no. 7
    
8.
Why Scientists Should Give Twitter a Try. http://blog.addgene.org/why-scientists-should-give-twitter-a-try. [Last accessed on 7 Feb 2017].  Back to cited text no. 8
    
9.
Hall N. The Kardashian index: Ameasure of discrepant social media profile for scientists. Genome Biol 2014;15:424.  Back to cited text no. 9
    
10.
The top 50 science stars of Twitter | Science | AAAS. http://www.sciencemag.org/news/2014/09/top-50-science-stars-twitter. [Last accessed on 7 Feb 2017].  Back to cited text no. 10
    
11.
Ale Ebrahim N. Modified Kardashian Index: A Measure of Discrepant Social Media Profile for Scientists. SSRN Electron J 2015.  Back to cited text no. 11
    
12.
Pauwels K. From Kardashian to Nye-Krauss: Adual impact index for marketing scientists | Smarter Marketing with Better Results. 2015. https://analyticdashboards.wordpress.com/2015/10/08/from-kardashian-to-nye-krauss-for-marketing-scientists/#_ftn2. [Last accessed on 15 Feb 2017].  Back to cited text no. 12
    


    Figures

  [Figure 1], [Figure 2]
 
 
    Tables

  [Table 1]



 

Top
 
 
  Search
 
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

 
  In this article
References
Article Figures
Article Tables

 Article Access Statistics
    Viewed171    
    Printed0    
    Emailed0    
    PDF Downloaded12    
    Comments [Add]    

Recommend this journal