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michael_nielsen's profile
michael_nielsen
michael_nielsen
michael_nielsen
@michael_nielsen

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michael_nielsen

@michael_nielsen

Searching for the numinous. Co-purveyor of https://quantum.country/ 

San Francisco, CA
michaelnielsen.org
Joined July 2008

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    1. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      A few observations from "The Science of Science", a useful review article appearing in this week's Science: http://barabasi.com/f/939.pdf 

      4 replies 101 retweets 218 likes
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    2. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      Number of articles grows exponentially (doubling time: 15 years), while number of "ideas" (measured by examining unique phrases in title) grows linearly.pic.twitter.com/v8YIXDIIRq

      8 replies 25 retweets 67 likes
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    3. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      Apparently there is evidence that interdisciplinary work is viewed as more valuable after the fact, but less valuable before. (cc @davidmanheim, evidence supporting your tweets earlier)pic.twitter.com/BT7Cg8Pw35

      4 replies 20 retweets 60 likes
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    4. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      This looks like a boring graph, but in fact it's the regularity which is interesting: it's the histogram of occurrences of highest-impact paper in a scientist's sequence of publications. The punchline is that it's equally likely at any time in their career.pic.twitter.com/S8xYzeUurn

      5 replies 36 retweets 117 likes
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    5. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      This contradicts some cynical remarks I've occasionally heard - that people at higher-status institutions get treated unfairly well. At least in terms of the impact of their papers, that appears to be false. (It may be true in other ways, of course).pic.twitter.com/S92PBk6TYs

      1 reply 5 retweets 19 likes
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    6. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      There's a lot of work supporting this, what Simonton calls the "equal odds" rule: the l'hood of a paper being important is roughly constant across a career (&, according to S, across scientists). Much as people hate it, & there are anecdotal counter-egs, # of pubs often matterspic.twitter.com/uhuoafb8hD

      1 reply 4 retweets 21 likes
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    7. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      The size of teams has increased over time. Black curves are for higher-impact papers, red curves for all papers.pic.twitter.com/tHXHnyI8Tj

      2 replies 10 retweets 18 likes
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    8. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      "A team-authored paper in science and engineering is 6.3 times more likely to receive 1000 or more citations..."pic.twitter.com/3q0Ph9SADD

      3 replies 7 retweets 15 likes
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      michael_nielsen‏ @michael_nielsen 8 Mar 2018
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      Interrupting this tweet stream to mention: it is _of course_ true that citations != quality of a paper. Not even close. Keep that in mind for all these facts! But the facts are still food for thought, IMO.

      7:39 PM - 8 Mar 2018
      • 2 Retweets
      • 10 Likes
      • Simon Rogers Pat Castillo-Briceno 🌊👩🔬 louisa Chris Madan 🐘🧠💻 Laurent Gⓐtt⓪ Alexander Berger Lego Mark E. T. R. Soles David Trémouilles
      1 reply 2 retweets 10 likes
        1. New conversation
        2. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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          This - diversity in team size (& everything else, frankly) - I thoroughly endorse. I'm all for chaotically trying everything...pic.twitter.com/RehKxNL30z

          1 reply 7 retweets 17 likes
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        3. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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          Teams are growing, an average, 17% per decade. That's really not all that fast. It means a doubling time of about 44 years.

          1 reply 1 retweet 3 likes
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        4. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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          Something I do wonder about in connection with the equal odds rule across a scientists' career: does it take into account the fact that in many fields citation rates are (I believe) rising? If so, the numbers should be rescaled.

          1 reply 1 retweet 10 likes
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        5. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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          The probability density for a paper's number of citations, normalized by the average number of citations for its discipline. The is essentially identical across disciplines(!) This is honestly quite remarkable.pic.twitter.com/SQvHcmabee

          4 replies 42 retweets 76 likes
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        6. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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          It's striking how much the paper focuses on citations and similar measures, but not on things like understanding, quality of explanations, deep new ideas, and so on; nor on economic impacts. Lots of proxy measures, rather than the reasons we want to do science in the first place

          4 replies 6 retweets 34 likes
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        7. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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          Put another way, it's not so much about the science of science, as the science of the extremely limited set of things we can measure about science. Citations are not uninteresting, but there's a reason Boltzmann's grave has S = k log W on it, not his h-indexpic.twitter.com/RVhOGtTaEA

          2 replies 23 retweets 88 likes
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        8. michael_nielsen‏ @michael_nielsen 8 Mar 2018
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          Anyways, it's a useful survey paper, with much that was new to me in it. And it was fun to make a first pass over it "in public" like this 😀

          5 replies 1 retweet 29 likes
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        9. End of conversation

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