4:AM talk by Euan Adie - Things we've noticed at Altmetric in 2017

Transcript

1. 10,000  foot  view  from   Altmetric.com   Things  we’ve  learned  in  2017  
2. Academic  Twi<er  s=ll  growing   2014   4.6M  w/  links  to  ar=cles  (not  books  etc.)   2015   6.7M   45%   2016   8.9M   32%   2017  (to  Sep  25th)   10M   ~  30  –  40%  
3. People  are  talking  about  preprints   •  Looking  at  items  published  in  2016  only  (with   at  least  one  Altmetric  men=on)       PLoS  One   bioRxiv   Outputs   18,561   4,728   Total  men=ons   168,023   115,464   News  stories,  per  100   92   21   Blog  posts,  per  100   14   23   Tweets,  per  100  *   731   2197   Wikipedia  cites  (ra=o)   2:1   Policy  cites  (ra=o)   2:1   *  I  removed  tweets  from  the  bioRxiv  Twi<er  account  
4. More  on  social  media   •  Looking  at  items  published  in  2016  only  (with   at  least  one  Altmetric  men=on)       PLoS  One   bioRxiv   Outputs   18,561   4,728   Total  men=ons   168,023   115,464   News  stories,  per  100   92   21   Blog  posts,  per  100   14   23   Tweets,  per  100  *   731   2197   Wikipedia  cites  (ra=o)   2:1   Policy  cites  (ra=o)   2:1   *  I  removed  tweets  from  the  bioRxiv  Twi<er  account  
5. Less  in  news  outlets,  policy  etc.   •  Looking  at  items  published  in  2016  only  (with   at  least  one  Altmetric  men=on)       PLoS  One   bioRxiv   Outputs   18,561   4,728   Total  men=ons   168,023   115,464   News  stories,  per  100   92   21   Blog  posts,  per  100   14   23   Tweets,  per  100  *   731   2197   Wikipedia  cites  (ra=o)   2:1   Policy  cites  (ra=o)   2:1   *  I  removed  tweets  from  the  bioRxiv  Twi<er  account  
6. Being  cited  by  policy  makers  
7. But…  no  difference  in  form  of  cita=on  between   preprints  and  peer  reviewed  outputs  
8. Whose  responsibility  is  this?  
9. Publisher  metadata  ge_ng  worse   •  Javascript  powered  front  ends  are  par=cularly   annoying   •  <meta>  tags  hidden  unless  you’re  Google   •  <meta>  tags  simply  not  there   •  For  DOIs,  delays  /  errors  in  Crossref  registra=on  
10. Books  vs  ar=cles   •  Confident  that  we’ve  got  pre<y  good  data  on   ar=cle  sharing   •  Books  –  feels  like  this  is  some  way  behind   (books  men=oned  v.  differently)  
12. Awareness,  uptake  s=ll  growing   quickly   •  Amongst  individual  researchers   •  Big  up=ck  in  government,  funder  customers:   who  generally  have  a  sensible,  informed   approach  (good!)   •  Training,  awareness,  pragma=c  best  prac=ce:   at  least  as  important  as  technical  work,   ge_ng  more  so.  
13. Flip  side   ….  from  “Clickbait  and  impact”  -­‐  Por=a  Roelofs  and  Max  Gallien  on  the  LSE  Impact  Blog    Sep  19th      
14. Special  new  metric  for  4:AM:     The  E-­‐Index™   Search  term   Stories  on  Google  News,   26th  Sep  2017   Altmetrics   375.0   Impact  Factor   388.0  
15. Special  new  metric  for  4:AM:     The  E-­‐Index™   Search  term   Stories  on  Google  News,   26th  Sep  2017   Altmetrics   375.0   Impact  Factor   388.0   CRISPR   193000.0  
16. Thanks!   Looking  forward  to  cha_ng  in  the   breaks.