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Several people (I think Arivero was one) have shown an interest in data on recent string publication and the question of how properly to interpret it----which basically comes down to whether you can predict.
In sampling the string publication rate, we've never used this exact set of keywords. I have added "compactification" to the list so we will tap into a larger sample. This will be similar to some things we've done in the past but with different numbers. The challenge is to predict stringy output during the FIRST FOUR MONTHS of this year, as compared with the same months in 2002, 2006, 2007...
and the keywords used to get a core sample of research papers are
keywords = superstring, M-theory, brane, compactification, heterotic, AdS/CFT
Here's what the Harvard abstract service comes up with for the first four months of the following years.
2002: http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
2006: http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
2007: http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
1596, 1799, 1776,...
The figure for the first four months of 2008 has not stabilized yet, but will over the next month or so as they finish entering stuff in the database. What will the figure ultimately be?
Will the published output figure be closest to 1200, 1300, 1400, 1500, 1600, 1700, or 1800?
Here 1200 or less, is understood, likewise 1800 or more, in case the real number is out of range. The winning guess is whatever is closest to right.
Ultimately, in a month or so, we will be able to check whose guess is closest by performing the same keyword search:
http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
In sampling the string publication rate, we've never used this exact set of keywords. I have added "compactification" to the list so we will tap into a larger sample. This will be similar to some things we've done in the past but with different numbers. The challenge is to predict stringy output during the FIRST FOUR MONTHS of this year, as compared with the same months in 2002, 2006, 2007...
and the keywords used to get a core sample of research papers are
keywords = superstring, M-theory, brane, compactification, heterotic, AdS/CFT
Here's what the Harvard abstract service comes up with for the first four months of the following years.
2002: http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
2006: http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
2007: http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
1596, 1799, 1776,...
The figure for the first four months of 2008 has not stabilized yet, but will over the next month or so as they finish entering stuff in the database. What will the figure ultimately be?
Will the published output figure be closest to 1200, 1300, 1400, 1500, 1600, 1700, or 1800?
Here 1200 or less, is understood, likewise 1800 or more, in case the real number is out of range. The winning guess is whatever is closest to right.
Ultimately, in a month or so, we will be able to check whose guess is closest by performing the same keyword search:
http://adsabs.harvard.edu/cgi-bin/n...txt_wgt=YES&ttl_sco=YES&txt_sco=YES&version=1
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