1 Through community detection of a literature network,
we extracted 3444 functional gene groups that represented bio
2 We extracted 36 chronic conditions and defined multimorbidity
3 In total,
we extracted 6871 chemical reaction relationships from nine m
4 en 1967 and 2017 met our criteria for inclusion, from which
we extracted 755 host-parasite-location-year combinations.
5 minant dimension, and back-projecting into the image space,
we extracted a behaviourally interpretable dimension of emoti
6 ponses to parametric variation in these stimulus variables,
we extracted a number of tuning response measures and used th
7 control, to obtain non-contaminated bone tissue from which
we extracted ancient DNA (aDNA) using established protocols.
8 Using capillary electrophoresis and MS-based analyses,
we extracted and measured HMOs from breast milk samples and t
9 We extracted and synthesized data from full-text articles tha
10 Here,
we extracted AR variant data from four databases: ARDB, HGMD,
11 We extracted axial zero-field splitting parameters of D = +0.
12 We extracted bacterial eDNA from soil samples collected insid
13 We extracted cell-type transcription factor networks and comp
14 We extracted clinical and echocardiographic data of all BAV s
15 We extracted clinical information from medical records and cl
16 We extracted data for older patients using a standardised dat
17 We extracted data from 2009 to 2018 for all patients who unde
18 We extracted data from a registry (NCT04358029) regarding con
19 Here,
we extracted data from Alzheimer's Disease Neuroimaging Initi
20 We extracted data from participant flow diagrams and contacte
21 We extracted data from the electronic health records of more
22 We extracted data from the Global Vision Database (2017) and
23 We extracted data on age, sex, race and ethnicity, and reside
24 We extracted data on study characteristics, verbatim descript
25 We extracted data, appraised study quality using a published
26 For each patient,
we extracted demographics, injury characteristics, the timing
27 We extracted disorder connectome fingerprints for each of the
28 We extracted electronic data from 4,759 hospitalised patients
29 For each admission,
we extracted facility, claims, and antibiotic data.
30 We extracted from the available data districts with an impact
31 From nationwide registries,
we extracted individual-level data on vaccination with the qu
32 iddle temporal (MT) area during perceptual-decision-making,
we extracted low-dimensional latent factors that captured the
33 Second,
we extracted maps of spatially distinct sources of activity a
34 We extracted mean RNFL thickness and SS and manually graded s
35 We extracted measures reflecting focused and selective attent
36 We extracted medical records for pertinent clinical, radiolog
37 Using quantitative pathology image analysis,
we extracted morphological features from H&E stained sections
38 ractions, and each community's robustness to perturbations,
we extracted new quantitative insights from these three publi
39 We extracted or estimated hazard ratios (HRs) and standard er
40 For the main analysis,
we extracted prevalence estimates from included surveys and c
41 We extracted proteins from these microdomains via stoichiomet
42 Using a data-mining tool,
we extracted quantitative and qualitative data from a sample
43 We extracted recommendations for care for twins spanning ante
44 We extracted relevant parameters from an electrical circuit m
45 In a prospective, cross-sectional, observational study,
we extracted RNA and DNA virus-like particles from fecal samp
46 We extracted survival and implant data and used all-cause con
47 Using ensemble-optimized analysis of SANS data,
we extracted the molecular size distribution of structures fr
48 If cases were not available,
we extracted them from published manuscripts, or subsequently
49 Using a statistical mechanics-based torsional spring model,
we extracted values of the chromatin twist modulus and the li
50 We extracted virus-like particles from 89 patients with AH wh