The advantage of short paper titles

Vast numbers of scientific articles are published each year, some of which attract considerable attention, and some of which go almost unnoticed. Here, we investigate whether any of this variance can be explained by a simple metric of one aspect of the paper's presentation: the length of its title. Our analysis provides evidence that journals which publish papers with shorter titles receive more citations per paper. These results are consistent with the intriguing hypothesis that papers with shorter titles may be easier to understand, and hence attract more citations.

[1]  Björn-Olav Dozo,et al.  Quantitative Analysis of Culture Using Millions of Digitized Books , 2010 .

[2]  Santo Fortunato,et al.  On the Predictability of Future Impact in Science , 2013, Scientific Reports.

[3]  Alexander M. Petersen,et al.  Inequality and cumulative advantage in science careers: a case study of high-impact journals , 2014, EPJ Data Science.

[4]  Alessandro Vespignani,et al.  The Twitter of Babel: Mapping World Languages through Microblogging Platforms , 2012, PloS one.

[5]  Ladislav Kristoufek,et al.  BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era , 2013, Scientific Reports.

[6]  J. Hartley.  Planning that title: Practices and preferences for titles with colons in academic articles , 2007 .

[7]  Tobias Preis,et al.  Quantifying the Relationship Between Financial News and the Stock Market , 2013, Scientific Reports.

[8]  András Kornai,et al.  Dynamics of Conflicts in Wikipedia , 2012, PloS one.

[9]  D. Watts.  A twenty-first century science , 2007, Nature.

[10]  T. Jacques,et al.  The impact of article titles on citation hits: an analysis of general and specialist medical journals , 2010, JRSM short reports.

[11]  Harry Eugene Stanley,et al.  Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death , 2011, Scientific Reports.

[12]  Nick Chater,et al.  Using big data to predict collective behavior in the real world 1 , 2014, Behavioral and Brain Sciences.

[13]  H. Eugene Stanley,et al.  Quantifying Wikipedia Usage Patterns Before Stock Market Moves , 2013, Scientific Reports.

[14]  Lada A. Adamic,et al.  Computational Social Science , 2009, Science.

[15]  Harry Eugene Stanley,et al.  Reputation and impact in academic careers , 2013, Proceedings of the National Academy of Sciences.

[16]  H. Stanley,et al.  Quantifying Trading Behavior in Financial Markets Using Google Trends , 2013, Scientific Reports.

[17]  H. Stanley,et al.  Methods for measuring the citations and productivity of scientists across time and discipline. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  J. Hirsch.  Does the h index have predictive power? , 2007, Proceedings of the National Academy of Sciences.

[19]  H Eugene Stanley,et al.  Quantifying the semantics of search behavior before stock market moves , 2014, Proceedings of the National Academy of Sciences.

[20]  Philip Treleaven,et al.  Quantifying the Digital Traces of Hurricane Sandy on Flickr , 2013, Scientific Reports.

[21]  Konrad Paul Kording,et al.  Future impact: Predicting scientific success , 2012, Nature.

[22]  Taha Yasseri,et al.  Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data , 2012, PloS one.

[23]  Alessandro Vespignani,et al.  Beating the news using social media: the case study of American Idol , 2012, EPJ Data Science.

[24]  David van Dijk,et al.  Publication metrics and success on the academic job market , 2014, Current Biology.

[25]  G. King,et al.  Ensuring the Data-Rich Future of the Social Sciences , 2011, Science.

[26]  C. Bradshaw,et al.  Predicting Publication Success for Biologists , 2013 .

[27]  James Hartley,et al.  To Attract or to Inform: What are Titles for? , 2005 .

[28]  Albert-László Barabási,et al.  Quantifying Long-Term Scientific Impact , 2013, Science.

[29]  Tobias Preis,et al.  Adaptive nowcasting of influenza outbreaks using Google searches , 2014, Royal Society Open Science.

[30]  Brendan T. O'Connor,et al.  Predicting a Scientific Community’s Response to an Article , 2011, EMNLP.

[31]  J. Nadal,et al.  Manifesto of computational social science , 2012 .

[32]  Alessandro Vespignani,et al.  Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number , 2011, PloS one.

[33]  H. Eugene Stanley,et al.  Quantifying the Advantage of Looking Forward , 2012, Scientific Reports.

[34]  A. Pentland,et al.  Computational Social Science , 2009, Science.

[35]  V. Soler.  Writing Titles in Science: An Exploratory Study. , 2007 .

[36]  Sauro Succi,et al.  Statistical regularities in the rank-citation profile of scientists , 2011, Scientific reports.

[37]  Johan Bollen,et al.  Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[38]  Harry Eugene Stanley,et al.  Languages cool as they expand: Allometric scaling and the decreasing need for new words , 2012, Scientific Reports.

[39]  Yutaka Matsuo,et al.  Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.

[40]  Sauro Succi,et al.  The Z-index: A geometric representation of productivity and impact which accounts for information in the entire rank-citation profile , 2013, J. Informetrics.

[41]  M. HamidR.Jamali,et al.  Article title type and its relation with the number of downloads and citations , 2011, Scientometrics.

[42]  James Hartley,et al.  What's in a title? Numbers of words and the presence of colons , 2005, Scientometrics.