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At least 127 records · Page 7

Utilizing Google Scholar as a Bibliographic Resource for Publications Search

This study focuses on the automated search for publication citations for the Earth Observing System Data and Information System (EOSDIS) datasets. The research investigates the feasibility of using automated search methods to gather published works from various bibliometric databases. A comparison is presented, highlighting the differences in citation counts obtained from Google Scholar compared to established bibliographic databases. The study also introduces a methodology and an open-source tool for getting publication citations from Google Scholar, utilizing dataset DOIs and keyword searches. The findings contribute to understanding the reliability and effectiveness of Google Scholar as a source for dataset citation retrieval and provide researchers with a valuable resource for obtaining comprehensive citation data.

Infometrics↗

Board on Research Data and Information

The Board on Research Data and Information (BRDI) has planned and undertaken numerous activities regarding data citation, attribution, management, policy, publishing, centers, access, curation, sharing, and infrastructure; and international collaboration and cooperation. Some of these activities resulted in National Research Council reports (For Attribution: Developing Data Attribution and Citation Practices and Standards (2012), The Case for International Scientific Data Sharing: A Focus on Developing Countries (2012), and The Future of Scientific Knowledge Discovery in Open Networked Environments (2012); and a peer-reviewed paper (Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data, 2013). BRDI held symposia, workshops and sessions in the U.S. and abroad on diverse topics such as global scientific data infrastructures, discovery of data online, privacy in a big data world, and data citation principles, among other timely data-related subjects. In addition, BRDI effects the representation of the United States before the International Council for Science’s International Committee on Data for Science and Technology (CODATA).

99 GENERAL AND MISCELLANEOUS↗

Topical Pathogens, Topical (Skin) Infections, and Cosmetics Periodic Update (July 1, 2016 to June 30, 2017)

A literature search was conducted of PubMed/Medline and MESH databases to support analyses and investigations of the relationship between microorganisms associated with human topical (skin) infections (including opportunistic pathogens) and cosmetics. Key terms for literature searches included; microbial genera and species of interest (bacteria, viruses, fungi, protozoans, parasites), opportunistic pathogens, human skin disease and infection, specific skin diseases (e.g., dermatomycoses, candidiasis, ecthyma, impetigo, etc.), surgery, infants, pregnant women, geriatric, immunocompromised, HIV and polymicrobial. The number of journal articles for defined searches was summarized and journal citations and abstracts were cataloged and incorporated into a searchable information system (MS Access). A periodic update to literature searches was completed in July 2017 and observations from the update indicate the most commonly associated bacteria with topical (skin) infections/diseases were Staphylococcus spp., Streptococcus spp., and Pseudomonas spp. Also, the literature searches indicate the most commonly associated fungi with topical (skin) infections/diseases were Tinea spp., Candida spp., and Aspergillus spp. A relative rank of occurrence of microorganisms associated with topical (skin) infections/disease in the literature citations was: Herpes simplex virus, Staphylococcus aureus, Tinea spp., Candida spp., Human papillomavirus, Pseudomonas aeruginosa, Leishmania spp., Streptococcus spp., Aspergillus spp., and Treponema pallidum. Literature searches for opportunistic microorganisms and emerging pathogens for this update identified several articles on dermatomycotic species including Candida yeasts (Candida albicans), dermatophytes (Aspergillus, and Trichophyton) and other opportunistic yeasts (Malassezia spp. and Rhodotorula spp.) associated with topical (skin) infections/diseases. A few of the opportunistic pathogenic Enterobacteriaceae more prevalent in citations were Klebsiella spp. and Enterobacter spp. Although the literature searches focused on microorganisms, key topical (skin) diseases noted in the citations were dermatomycoses, leishmaniasis, eczema, candidiasis, and impetigo.

60 APPLIED LIFE SCIENCES↗

Making it in academic psychology: Demographic and personality correlates of eminence

Citations to published work, personality, and demographic characteristics were examined in a sample of male and female academic psychologists. A large sex difference was found in citations with men receiving significantly more recognition. Reputational rankings of graduate school and current institution were significantly related to citations, as were components of achievement motivation. Mastery and work needs were positively related to citations while competitiveness was negatively associated with the criterion. A model of attainment in psychology is proposed and possible explanations for the differential recognition of women are explored.

Helmreich, R. L.↗

Wind tunnel wall interference in V/STOL and high lift testing: A selected, annotated bibliography

This bibliography, with abstracts, consists of 260 citations of interest to persons involved in correcting aerodynamic data, from high lift or V/STOL type configurations, for the interference arising from the wind tunnel test section walls. It provides references which may be useful in correcting high lift data from wind tunnel to free air conditions. References are included which deal with the simulation of ground effect, since it could be viewed as having interference from three tunnel walls. The references could be used to design tests from the standpoint of model size and ground effect simulation, or to determine the available testing envelope with consideration of the problem of flow breakdown. The arrangement of the citations is chronological by date of publication in the case of reports or books, and by date of presentation in the case of papers. Included are some documents of historical interest in the development of high lift testing techniques and wall interference correction methods. Subject, corporate source, and author indices, by citation numbers, have been provided to assist the users. The appendix includes citations of some books and documents which may not deal directly with high lift or V/STOL wall interference, but include additional information which may be helpful.

Tuttle, M. H.↗

Bibliography of Doctor Chul Park

This document contains a comprehensive bibliography of the published works, and a short biography, of Dr. Chul Park. The contents of this bibliography were compiled primarily from the NASA RECON data base. The RECON citations have been modified to appear in a uniform format with all other listed citations . These other citations were located by computer searches in the INSPEC, NTIS, COMPENDEX, and Chemical Abstracts data bases, as well as through the cooperation of Dr. Chul Park, and his associates in the Reacting Flow Environments Branch at NASA Ames Research Center. All citations are presented in an approximate reverse chronological order from the present date. This work was created to honor the occasion of Dr. Chul Park's retirement on December 14, 1994, after 27 years of distinguished government service at the NASA Ames Research Center.

Gochberg, Lawrence A.↗

NASA Patent Abstracts: A Continuing Bibliography

The NASA Patent Abstracts Bibliography is a semiannual NASA publication containing comprehensive abstracts of NASA owned inventions covered by U.S. patents and applications for patent. The citations included in the bibliography arrangement of citations were originally published in NASA's Scientific and Technical Aerospace Reports (STAR) and cover STAR announcements made since May 1969. The citations published in this issue cover the period June 1998 through December 1998. This issue includes 10 major subject divisions separated into 76 specific categories and one general category/division. Each entry consists of a STAR citation accompanied by an abstract and, when appropriate, a key illustration taken from the patent or application for patent. Entries are arranged by subject category in ascending order.

Source record↗

Microphysical Characteristics of Tropical Clouds

This report summarizes the analysis of data collected by the University of North Dakota Citation II measurement platform during three TRMM Field measurement campaigns. The Citation II made cloud measurements during TEFLUN B in Florida, the LBA program in Brazil, and KWAJEX in Kwajalein. The work performed can be divided into two parts. The first part consisted of reformatting the Citation data into a form more easily used to compare to the satellite information. The second part consisted of examination of the cloud data in order to characterize the properties of the tropical clouds. The reformatting of the Citation data was quite labor intensive and, due to the fact that the aircraft was involved in three of the field campaigns, it required a substantial number of person-hours to complete. Much of the analysis done on the second part was done in conjunction with the thesis work of Nicholas Anderson, then a graduate student at the University of North Dakota.

Grainger, Cedric A.↗

Determining the Publication Impact of a Digital Library

We attempt to assess the publication impact of a digital library (DL) of aerospace scientific and technical information (STI). The Langley Technical Report Server (LTRS) is a digital library of over 1,400 electronic publications authored by NASA Langley Research Center personnel or contractors and has been available in its current World Wide Web (WWW) form since 1994. In this study, we examine calendar year 1997 usage statistics of LTRS and the Center for AeroSpace Information (CASI), a facility that archives and distributes hard copies of NASA and aerospace information. We also perform a citation analysis on some of the top publications distributed by LTRS. We find that although LTRS distributes over 71,000 copies of publications (compared with an estimated 24,000 copies from CASI), citation analysis indicates that LTRS has almost no measurable publication impact. We discuss the caveats of our investigation, speculate on possible different models of usage facilitated by DLs , and suggest retrieval analysis as a complementary metric to citation analysis. While our investigation failed to establish a relationship between LTRS and increased citations and raises at least as many questions as it answers, we hope it will serve as a invitation to, and guide for, further research in the use of DLs.

Kaplan, Nancy R.↗

A Hybrid Approach to Labeling Datasets in Earth Science Publications

NASA Data Centers provide the public with thousands of datasets that result in published papers, reports, and conference proceedings. Collecting accurate metrics on usage of these datasets is key to connecting different areas of knowledge and evaluating the datasets’ impact. While most of the datasets have Digital Object Identifiers (DOIs) assigned, most publications do not cite them hampering the automated search of these publications. Instead, articles mention attributes like organization, instrument, mission, variable, or a publication describing the dataset. Often only domain experts can deduce the dataset that was used in the publication text. The lack of a citation slows the spread of information and reduces the research’s impact. With thousands of papers produced each year, an automated means of labeling datasets is critical. This paper explores a hybrid approach of heuristics and a Natural Language Processing (NLP) Named Entity Recognition (NER) model to find and label the datasets used within Earth Science papers. Heuristics are used to produce the labelled sentences and any potential dataset candidates that can be derived from a sentence. The heuristic labels the sentences with the names of mission, instrument, re-analysis models, and science keywords taken from the Global Change Master Directory (GCMD) ontology. Additionally, it uses those labels to generate the dataset citation candidates. If the mission, instrument, and variable are sufficient to create the citation for the dataset the citation and the label the domain expert reviews the output without going through the NLP model. If the extracted label is not sufficient to label the dataset on its own, the sentence and its associated dataset labels will be inputted into the NER model. The model outputs the labeled sentence and the potential dataset candidates with their associated probabilities. The domain expert then reviews the NER model’s output and the correct labels are determined. The newly labelled papers can then be used as additional training data. This creates an iterative process for the approach to continuously improve. Because all the possible mentions are gathered by the model, the domain expert can quickly and easily label the papers resulting in large time savings.

Jacob Atkins↗

Analyzing EOSDIS Dataset Research Outputs using Knowledge Graphs and Large Language Models

Datasets, unlike publications, can be updated over time, with each new version receiving a DOI but not always being linked to previous ones. This complicates tracking citations across a dataset’s lifecycle. We address this by integrating dataset versions and citations into a knowledge graph (KG), which helps trace dataset citations and analyze dataset usage in applied research. To categorize publications from various journals, we fine-tuned NASA IMPACT INDUS Large Language Model (LLM) on a labeled publication set, assigning publications to one of twenty applied research areas. By linking datasets to these research areas, we improved dataset searchability and discovery through these domains.

open-source↗

Fate of Manuscripts Rejected From the Red Journal

Purpose: To evaluate characteristics associated with higher rates of acceptance for original manuscripts submitted for publication to the International Journal of Radiation Oncology • Biology • Physics (IJROBP) and describe the fate of rejected manuscripts. Methods and Materials: Manuscripts submitted to the IJROBP from May 1, 2010, to August 31, 2010, and May 1, 2012, to August 31, 2012, were evaluated for author demographics and acceptance status. A PubMed search was performed for each IJROBP-rejected manuscript to ascertain whether the manuscript was ultimately published elsewhere. The Impact Factor of the accepting journal and the number of citations of the published manuscript were also collected. Results: Of the 500 included manuscripts, 172 (34.4%) were accepted and 328 (65.6%) were rejected. There was no significant difference in acceptance rates according to gender or degree of the submitting author, but there were significant differences seen based on the submitting author's country, rank, and h-index. On multivariate analysis, earlier year submitted (P<.0001) and higher author h-index (P=.006) remained significantly associated with acceptance into the IJROBP. Two hundred thirty-five IJROBP-rejected manuscripts (71.7%) were ultimately published in a PubMed-listed journal as of July 2014. There were no significant differences in any submitting author characteristics. Journals accepting IJROBP-rejected manuscripts had a lower median [interquartile range] 2013 impact factor compared with the IJROBP (2.45 [1.53-3.71] vs 4.176). The IJROBP-rejected manuscripts ultimately published elsewhere had a lower median [interquartile range] number of citations (1 [0-4] vs 6 [2-11]; P<.001), which persisted on multivariate analysis. Conclusions: The acceptance rate for manuscripts submitted to the IJROBP is approximately one-third, and approximately 70% of rejected manuscripts are ultimately published in other PubMed-listed journals, but these ultimate-destination journals usually have a lower impact factor, leading to fewer citations and overall visibility.

62 RADIOLOGY AND NUCLEAR MEDICINE↗

Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury

Objective: Mild traumatic brain injury (mTBI) has high prevalence in the military, among athletes, and in the general population worldwide (largely due to falls). Consequences can include a range of neuropsychological disorders. Unfortunately, such neural injury often goes undiagnosed due to the difficulty in identifying symptoms, so the discovery of an effective biomarker would greatly assist diagnosis; however, no single biomarker has been identified. We identify several body substances as potential components of a panel of biomarkers to support the diagnosis of mild traumatic brain injury. Methods: Our approach to diagnostic biomarker discovery combines ideas and techniques from systems medicine, natural language processing, and graph theory. We create a molecular interaction network that represents neural injury and is composed of relationships automatically extracted from the literature. We retrieve citations related to neurological injury and extract relationships (semantic predications) that contain potential biomarkers. After linking all relationships together to create a network representing neural injury, we filter the network by relationship frequency and concept connectivity to reduce the set to a manageable size of higher interest substances. Results: 99,437 relevant citations yielded 26,441 unique relations. 18,085 of these contained a potential biomarker as subject or object with a total of 6246 unique concepts. After filtering by graph metrics, the set was reduced to 1021 relationships with 49 unique concepts, including 17 potential biomarkers. Conclusion: We created a network of relationships containing substances derived from 99,437 citations and filtered using graph metrics to provide a set of 17 potential biomarkers. We discuss the interaction of several of these (glutamate, glucose, and lactate) as the basis for more effective diagnosis than is currently possible. This method provides an opportunity to focus the effort of wet bench research on those substances with the highest potential as biomarkers for mTBI.

59 BASIC BIOLOGICAL SCIENCES↗

Ocular Pathogens, Eye Infections, and Cosmetics Periodic Update (July 1, 2016 to June 30, 2017)

A PubMed literature search was conducted to support analyses and investigations of the relationship between microorganisms associated with human eye infections (including opportunistic pathogens) and cosmetics. Key terms for PubMed literature searches included; microbial genera and species of interest (bacteria, viruses, fungi, protozoans, parasites), opportunistic pathogens, human eye disease and infection, human ocular infections, specific eye diseases (keratitis, conjunctivitis, etc.), eye accidents, eye surgery, contacts, infants, pregnant women, geriatric, immunocompromised, HIV and polymicrobial. The number of journal articles for defined searches was summarized and journal citations and abstracts were cataloged and incorporated into a searchable information system (MS Access). A periodic update to the literature searches was conducted in July 2017 and observations from the update indicate the most commonly associated bacteria with eye infections/diseases were Staphylococcus sp., Chlamydia sp. and Pseudomonas sp. Also, the literature searches indicate the most commonly associated fungi with eye infections/diseases were Fusarium sp., Aspergillus sp. and Candida sp. A relative rank of occurrence of microorganisms associated with eye infections/disease in the literature citations was; Staphylococcus aureus, Chlamydia trachomatis, Cytomegalovirus, Herpes zoster virus, Pseudomonas aeruginosa, Staphylococcus epidermidis, Acanthamoeba sp., Fusarium sp., E. coli and Mycobacterium tuberculosis. Literature searches for opportunistic microorganisms and emerging pathogens for this update identified several articles on fungi, Bacillus sp. (primarily B. cereus), Haemophilus influenzae and Human Papillomavirus (HPV) associated with eye infections/diseases. Although the literature searches focused on microorganisms, key eye diseases noted in the citations were keratitis, conjunctivitis, corneal ulcers, endophthalmitis and keratoconjunctivitis.

60 APPLIED LIFE SCIENCES↗

An introductory note on Randomized Maximum Likelihood (RML) as it relates to quantitative inference from radiography

The purpose of this report is to identify the source citations for the RML method and clearly delineate the relevant analysis that is contained within, relate the RML paradigm to inference from radiography and thereby contextualize the source citations as limited justification for an intuitive Monte Carlo technique, and identify a potential pitfall of applying RML as it is presented in the source citations and prescribe a deviation from techniques adopted by the AWE and presented by researchers there.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗

NCAR/EOL ISFS Data for LASSO-CACTI Overview Paper

5 minute averages of surface meteorology and flux data collected by the NCAR/EOL Integrated Surface Flux System (ISFS) at 15 sites during the RELAMPAGO field campaign. These data have been quality-controlled and are available in NetCDF format. Winds reported by the sonic anemometers have been tilt corrected and rotated into geographic coordinates. Data providence, citation, and acknowledgement This ARM data set is a copy of v2.0 of the NCAR data set obtained on 6-Jun-2024 from https://doi.org/10.26023/ZPHJ-JW9W-2B0Y. The citation for the original data source is: NCAR/EOL In-situ Sensing Facility, Oncley, S. 2021. NCAR/EOL ISFS Surface Meteorology and Flux Products, 5-minute. Version 2.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/ZPHJ-JW9W-2B0Y Accessed 06 Jun 2024. In addition to the citation reference and any other acknowledgements, please acknowledge NCAR/EOL in your publications with text such as: "Data provided by NCAR/EOL under the sponsorship of the National Science Foundation. https://data.eol.ucar.edu/"

atmosphere: surface↗

NCAR-RAL Surface Hydrometeorological Observation Network Data for LASSO-CACTI Overview Paper

This data set contains the 15 minute resolution surface meteorology and soils data from the 15 NCAR/RAL weather stations that were operated around central Argentina during the RELAMPAGO (Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations) Extended Observing Period (EOP). Data providence, citation, and acknowledgement This ARM data set is a copy of v1.0 of the NCAR data set obtained in June 2024 from https://doi.org/10.26023/KW8Z-F2WX-H0Y. The citation for the original data source is: Gochis, D., et al. 2019. NCAR-RAL Surface Hydrometeorological Observation Network Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/KW8Z-F2WX-H0Y Accessed June 2024. In addition to the citation reference and any other acknowledgements, please acknowledge NCAR/EOL in your publications with text such as: “Data provided by NCAR/EOL under the sponsorship of the National Science Foundation. https://data.eol.ucar.edu/”

air temperature↗

Ballistocardiography, a Bibliography <1877 - 1964<

The publication of this bibliography on Ballistocardiography, NASA SP-7021 (FAA AM 65-15) fulfills a long-standing requirement for a comprehensive and retrospective collection of references on a subject that is of particular interest to medical investigators and cardiovascular physiologists engaged in aerospace studies. Ballistocardiography is a technique for producing a graphical representation of repetitive motions of the human body arising from the sudden ejection of blood into the great vessels with each heart beat. Standard ballistocardiographic techniques are emphasized in the references included in the bibliography, but attention is also given to several related methods that are used to record these phenomena and to the equipment and instrumentation employed in such investigations. The format of the citations in NASA SP-7021 (FAA AM 65-15) was chosen to resemble, as closely as possible, the format that is now being used in the Index Medicwl published by the National Library of Medicine, except that English titles of foreign language articles appear in parentheses instead of in brackets as they do in Index Medicus. In each case, an attempt was made to identify the language of the article, or the place of publication of the foreign language journal. Since the citations were gathered over a period of years and occasionally from sources which do not appear in standard indexes, complete information was not always available. Citations are arranged alphabetically by personal author. In a large measure, the comprehensivenes of this collection of references is due to information obtained from card files compiled and maintained by Dr. William R. Scarborough of the Georgetown Clinical Research Institute, Office of Aviation Medicine, FAA, supplemented by the private collections of Drs. Isaac Starr, Abraham Noordergraaf, and John L. Nickerson. Selection and preparation of individual references and general editing of the material was done by Dr. Scarborough, who received valuable assistance from Mrs. Claire Tedesco of the Medical Library Branch of the FAA Library. Final compilation and printing were completed under the supervision of NASA.

AEROSPACE MEDICINE↗