-
1
-
-
84937057406
-
Strategies from UW-Madison for rescuing biomedical research in the US
-
Kimble J, et al. (2015) Strategies from UW-Madison for rescuing biomedical research in the US. Elife 4:e09305.
-
(2015)
Elife
, vol.4
, pp. e09305
-
-
Kimble, J.1
-
3
-
-
85033498429
-
Why the US science and engineering workforce is aging rapidly
-
Blau DM, Weinberg BA (2017) Why the US science and engineering workforce is aging rapidly. Proc Natl Acad Sci USA 114:3879–3884.
-
(2017)
Proc Natl Acad Sci USA
, vol.114
, pp. 3879-3884
-
-
Blau, D.M.1
Weinberg, B.A.2
-
4
-
-
85006508004
-
Shifting demographics among research project grant awardees at the National Heart, Lung, and Blood Institute (NHLBI)
-
Charette MF, et al. (2016) Shifting demographics among research project grant awardees at the National Heart, Lung, and Blood Institute (NHLBI). PLoS One 11:e0168511.
-
(2016)
PLoS One
, vol.11
-
-
Charette, M.F.1
-
5
-
-
85021051909
-
Future of fundamental discovery in US biomedical research
-
Levitt M, Levitt JM (2017) Future of fundamental discovery in US biomedical research. Proc Natl Acad Sci USA 114:6498–6503.
-
(2017)
Proc Natl Acad Sci USA
, vol.114
, pp. 6498-6503
-
-
Levitt, M.1
Levitt, J.M.2
-
7
-
-
84879199915
-
Big science vs. Little science: How scientific impact scales with funding
-
Fortin JM, Currie DJ (2013) Big science vs. little science: How scientific impact scales with funding. PLoS One 8:e65263.
-
(2013)
PLoS One
, vol.8
-
-
Fortin, J.M.1
Currie, D.J.2
-
8
-
-
85016191663
-
Concentration of research funding leads to decreasing marginal returns
-
Mongeon P, Brodeur C, Beaudry C, Larivière V (2016) Concentration of research funding leads to decreasing marginal returns. Res Eval 25:396–404.
-
(2016)
Res Eval
, vol.25
, pp. 396-404
-
-
Mongeon, P.1
Brodeur, C.2
Beaudry, C.3
Larivière, V.4
-
9
-
-
84905915819
-
Assessing value in biomedical research: The PQRST of appraisal and reward
-
Ioannidis JP, Khoury MJ (2014) Assessing value in biomedical research: the PQRST of appraisal and reward. JAMA 312:483–484.
-
(2014)
JAMA
, vol.312
, pp. 483-484
-
-
Ioannidis, J.P.1
Khoury, M.J.2
-
10
-
-
84973865976
-
How criterion scores predict the overall impact score and funding outcomes for National Institutes of Health peer-reviewed applications
-
Eblen MK, Wagner RM, RoyChowdhury D, Patel KC, Pearson K (2016) How criterion scores predict the overall impact score and funding outcomes for National Institutes of Health peer-reviewed applications. PLoS One 11:e0155060.
-
(2016)
PLoS One
, vol.11
-
-
Eblen, M.K.1
Wagner, R.M.2
RoyChowdhury, D.3
Patel, K.C.4
Pearson, K.5
-
11
-
-
84995389872
-
Quantifying the evolution of individual scientific impact
-
Sinatra R, Wang D, Deville P, Song C, Barabási AL (2016) Quantifying the evolution of individual scientific impact. Science 354:aaf5239.
-
(2016)
Science
, vol.354
, pp. aaf5239
-
-
Sinatra, R.1
Wang, D.2
Deville, P.3
Song, C.4
Barabási, A.L.5
-
12
-
-
85011324273
-
Data-driven predictions in the science of science
-
Clauset A, Larremore DB, Sinatra R (2017) Data-driven predictions in the science of science. Science 355:477–480.
-
(2017)
Science
, vol.355
, pp. 477-480
-
-
Clauset, A.1
Larremore, D.B.2
Sinatra, R.3
-
13
-
-
84940435664
-
Association of percentile ranking with citation impact and productivity in a large cohort of de novo NIMH-funded R01 grants
-
Doyle JM, et al. (2015) Association of percentile ranking with citation impact and productivity in a large cohort of de novo NIMH-funded R01 grants. Mol Psychiatry 20:1030–1036.
-
(2015)
Mol Psychiatry
, vol.20
, pp. 1030-1036
-
-
Doyle, J.M.1
-
14
-
-
84961942967
-
NIH peer review percentile scores are poorly predictive of grant productivity
-
Fang FC, Bowen A, Casadevall A (2016) NIH peer review percentile scores are poorly predictive of grant productivity. Elife 5:e13323.
-
(2016)
Elife
, vol.5
, pp. e13323
-
-
Fang, F.C.1
Bowen, A.2
Casadevall, A.3
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