scispace - formally typeset
Search or ask a question
Institution

Stony Brook University

EducationStony Brook, New York, United States
About: Stony Brook University is a education organization based out in Stony Brook, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32534 authors who have published 68218 publications receiving 3035131 citations. The organization is also known as: State University of New York at Stony Brook & SUNY Stony Brook.


Papers
More filters
Journal ArticleDOI
TL;DR: These results confirm the earlier finding that elevated IOP is a strong factor for glaucoma progression, with the HR increasing by 11% for every 1 mmHg of higher IOP.

399 citations

Journal ArticleDOI
06 Aug 2004-Science
TL;DR: The Mars Exploration Rover Spirit and its Athena science payload have been used to investigate a landing site in Gusev crater, but no clear evidence for lacustrine sedimentation has been found to date as discussed by the authors.
Abstract: The Mars Exploration Rover Spirit and its Athena science payload have been used to investigate a landing site in Gusev crater. Gusev is hypothesized to be the site of a former lake, but no clear evidence for lacustrine sedimentation has been found to date. Instead, the dominant lithology is basalt, and the dominant geologic processes are impact events and eolian transport. Many rocks exhibit coatings and other characteristics that may be evidence for minor aqueous alteration. Any lacustrine sediments that may exist at this location within Gusev apparently have been buried by lavas that have undergone subsequent impact disruption.

398 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated how different methods of mapping species ranges can influence patterns of richness, at three spatial resolutions, by overlaying individual species range maps for terrestrial amphibians and reptiles.
Abstract: Aim Maps of species richness are the basis for applied research and conservation planning as well as for theoretical research investigating patterns of richness and the processes shaping these patterns. The method used to create a richness map could influence the results of such studies, but differences between these methods have been insufficiently evaluated. We investigate how different methods of mapping species ranges can influence patterns of richness, at three spatial resolutions. Location California, USA. Methods We created richness maps by overlaying individual species range maps for terrestrial amphibians and reptiles. The methods we used to create ranges included: point-to-grid maps, obtained by overlaying point observations of species occurrences with a grid and determining presence or absence for each cell; expert-drawn maps; and maps obtained through species distribution modelling. We also used a hybrid method that incorporated data from all three methods. We assessed the correlation and similarity of the spatial patterns of richness maps created with each of these four methods at three different resolutions. Results Richness maps created with different methods were more correlated at lower spatial resolutions than at higher resolutions. At all resolutions, point-to-grid richness maps estimated the lowest species richness and those derived from species distribution models the highest. Expert-drawn maps and hybrid maps showed intermediate levels of richness but had different spatial patterns of species richness from those derived with the other methods. Main conclusions Even in relatively well-studied areas such as California, different data sources can lead to rather dissimilar maps of species richness. Evaluating the strengths and weaknesses of different methods for creating a richness map can provide guidance for selecting the approach that is most appropriate for a given application and region.

398 citations

Journal ArticleDOI
TL;DR: In this paper, the authors extended part of Peter Cohen's well-known examination of the association between student ratings of instruction and student achievement and compared the results of increasing the number of specific instructional dimensions considered and of preserving more of the information in the evaluations by multiple coding into these dimensions.
Abstract: This synthesis extends part of Peter Cohen's well-known examination of the association between student ratings of instruction and student achievement. The results of increasing the number of specific instructional dimensions considered and of preserving more of the information in the evaluations by multiple coding into these dimensions are compared with Cohen's findings. Extending the analysis further by changing the unit of analysis and the method of averaging correlations generally decreases the size of the associations. The instructor's preparation and organization, clarity and understandableness, stimulation of interest, motivation of students to reach high standards, encouragement of discussion and openness to others' opinions, and elocutionary skills consistently explain 10% or more of the variance in student achievement regardless of the method of averaging or the unit of analysis used. The size of the association between an instructional characteristic and student achievement, as one indicator of the characteristic's importance, is compared with three other indicators (extent to which students say the characteristic is important, extent to which faculty say it is important, and size of its correlation with the overall evaluation of the instructor).

398 citations

Journal ArticleDOI
TL;DR: Neonatal AKI is a common and independent risk factor for mortality and longer hospital stay, and data suggest that neonates may be impacted by AKI in a manner similar to pediatric and adult patients.

398 citations


Authors

Showing all 32829 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Dennis W. Dickson1911243148488
Hyun-Chul Kim1764076183227
David Baker1731226109377
J. N. Butler1722525175561
Roderick T. Bronson169679107702
Nora D. Volkow165958107463
Jovan Milosevic1521433106802
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Jacques Banchereau14363499261
Larry R. Squire14347285306
John D. E. Gabrieli14248068254
Alexander Milov142114393374
Meenakshi Narain1421805147741
Network Information
Related Institutions (5)
University of Washington
305.5K papers, 17.7M citations

97% related

Stanford University
320.3K papers, 21.8M citations

96% related

Columbia University
224K papers, 12.8M citations

96% related

University of California, Los Angeles
282.4K papers, 15.7M citations

96% related

University of Pennsylvania
257.6K papers, 14.1M citations

95% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023124
2022453
20213,609
20203,747
20193,426
20183,127