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Structured Affiliations Extraction from Scientific Literature

Dominika Tkaczyk, Bartosz Tarnawski, Łukasz Bolikowski
<span title="">2015</span> <i title="CNRI Acct"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ugbiirfvufgcjkx33r3cmemcuu" style="color: black;">D-Lib Magazine</a> </i> &nbsp;
Cermine: automatic extraction of structured metadata from scientific literature.  ...  D-Lib Magazine November/December 2015 Volume 21, Number 11/12 Table of Contents Structured Affiliations Extraction from Scientific Literature Dominika Tkaczyk  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1045/november2015-tkaczyk">doi:10.1045/november2015-tkaczyk</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jqatgvnvkffovfqqnxjzasypym">fatcat:jqatgvnvkffovfqqnxjzasypym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214183705/http://www.dlib.org/dlib/november15/tkaczyk/11tkaczyk.html" title="fulltext access" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [HTML] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1045/november2015-tkaczyk"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> dlib.org </button> </a>

Automatic Construction of a Semantic Knowledge Base from CEUR Workshop Proceedings [chapter]

Bahar Sateli, René Witte
<span title="">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyopc6cf5ze5vipjlm4aztcffi" style="color: black;">Communications in Computer and Information Science</a> </i> &nbsp;
We present an automatic workflow that performs text segmentation and entity extraction from scientific literature to primarily address Task 2 of the Semantic Publishing Challenge 2015.  ...  The goal of Task 2 is to extract various information from full-text papers to represent the context in which a document is written, such as the affiliation of its authors and the corresponding funding  ...  Previously, we investigated how we can use generic Named Entity Recognition (NER) tools to extract topics from scientific literature in a domain-independent manner, as a means of modeling the knowledge  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-25518-7_11">doi:10.1007/978-3-319-25518-7_11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sjrbad3zbbedjlvvnaxgyffad4">fatcat:sjrbad3zbbedjlvvnaxgyffad4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808223009/http://www.semanticsoftware.info/system/files/sempub_challenge2015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/da/2f/da2f8ff948dbe005c9287b9643c4ac3e73582db8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-25518-7_11"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A bibliometric analysis of natural language processing in medical research

Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu, Tianyong Hao
<span title="">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bnylrk2y7bfnrn7u2f2vjkx7ta" style="color: black;">BMC Medical Informatics and Decision Making</a> </i> &nbsp;
Firstly, the literature distribution characteristics were obtained with a statistics analysis method. Secondly, a network analysis method was used to reveal scientific collaboration relations.  ...  Mayo Clinic was the most productive affiliation.  ...  With the purpose of mapping and analyzing the structure and evolution of the scientific literature on gender differences in higher education and science, Dehdarirad et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12911-018-0594-x">doi:10.1186/s12911-018-0594-x</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29589569">pmid:29589569</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5872501/">pmcid:PMC5872501</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pfozvr45tzcqfamowiyckemsf4">fatcat:pfozvr45tzcqfamowiyckemsf4</a> </span>
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CERMINE: automatic extraction of structured metadata from scientific literature

Dominika Tkaczyk, Paweł Szostek, Mateusz Fedoryszak, Piotr Jan Dendek, Łukasz Bolikowski
<span title="2015-07-03">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qlbwpi6y5ratlbyijgcz2zwany" style="color: black;">International Journal on Document Analysis and Recognition</a> </i> &nbsp;
CERMINE is a comprehensive open-source system for extracting structured metadata from scientific articles in a born-digital form.  ...  The table shows simple metadata types (e.g. title, author, abstract or bibliographic references), relations between them (author-affiliation, author-email address), and also metadata in the structured  ...  These problems are addressed by CERMINE-a comprehensive tool for automatic metadata extraction from born-digital scientific literature.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10032-015-0249-8">doi:10.1007/s10032-015-0249-8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k6jbxcejcja7dpqzo66p32vcsu">fatcat:k6jbxcejcja7dpqzo66p32vcsu</a> </span>
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MexPub: Deep Transfer Learning for Metadata Extraction from German Publications [article]

Zeyd Boukhers and Nada Beili and Timo Hartmann and Prantik Goswami and Muhammad Arslan Zafar
<span title="2021-06-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Extracting metadata from scientific papers can be considered a solved problem in NLP due to the high accuracy of state-of-the-art methods.  ...  This variety makes traditional NLP methods fail to accurately extract metadata from these publications.  ...  To this end, we randomly extracted metadata records from SSOAR 5 , DBLP 8 , and a list of scientific affiliations from Wikipedia 9 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.07359v1">arXiv:2106.07359v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k5446qbqvzhonj32urjqvaagpq">fatcat:k5446qbqvzhonj32urjqvaagpq</a> </span>
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Semantic Management of Scholarly Literature: A Wiki-Based Approach [chapter]

Bahar Sateli
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The rapid growth of the number of scientific publications has encouraged researchers from various domains to look for automatic approaches that can extract knowledge from the vast amount of available literature  ...  As an example, we developed two literature analysis pipelines that can automatically extract structural and semantic entities from a given full-text paper and generate semantic metadata from the results  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-06483-3_43">doi:10.1007/978-3-319-06483-3_43</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/popvuump7bb5fpuq6uhc5ltkze">fatcat:popvuump7bb5fpuq6uhc5ltkze</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808222936/http://www.semanticsoftware.info/system/files/zeeva-cai14.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/15/fb152cef48fb894bd037645993d231491c235b24.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-06483-3_43"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

ONER: Tool for Organization Named Entity Recognition from Affiliation Strings in PubMed Abstracts [article]

Siddhartha Jonnalagadda, Philip Topham, Graciela Gonzalez
<span title="2010-03-17">2010</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Automatically extracting organization names from the affiliation sentences of articles related to biomedicine is of great interest to the pharmaceutical marketing industry, health care funding agencies  ...  spent by government agencies in understanding the scientific landscape, including key opinion leaders and centers of excellence.  ...  This can be achieved by mining the affiliation information from PubMed, and mapping it to the MeSH terms and other keywords (such as specific genes) extracted from the abstract, thus allowing public health  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1001.4274v2">arXiv:1001.4274v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k2quk3ptu5fbxa33csocyowo7m">fatcat:k2quk3ptu5fbxa33csocyowo7m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930165915/https://arxiv.org/vc/arxiv/papers/1001/1001.4274v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/03/5a03f01ba95b5716705a0d886ed2091d0c9bedfe.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1001.4274v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

An Ontological Framework for Information Extraction From Diverse Scientific Sources

Gohar Zaman, Hairulnizam Mahdin, Khalid Hussain, Atta-Ur-Rahman, Jemal Abawajy, Salama A. Mostafa
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
INDEX TERMS Information extraction, semi structure scientific documents, fuzzy rule base, word sense disambiguation, ontological framework.  ...  Automatic information extraction from online published scientific documents is useful in various applications such as tagging, web indexing and search engine optimization.  ...  A recent comprehensive literature review about the information extraction techniques from unstructured and semi structured scientific resources have been discussed in [9] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3063181">doi:10.1109/access.2021.3063181</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bsoz4v7ndvb7xeltpmvo2wmkym">fatcat:bsoz4v7ndvb7xeltpmvo2wmkym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428004024/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09366868.pdf?tp=&amp;arnumber=9366868&amp;isnumber=9312710&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cb/8c/cb8ce87ac203212a8eba8fd433604e391559be46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3063181"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

New Methods for Metadata Extraction from Scientific Literature [article]

Dominika Tkaczyk
<span title="2017-10-27">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Extracted information includes basic document metadata, structured full text and bibliography section.  ...  This research addresses these problems by proposing an automatic, accurate and flexible algorithm for extracting wide range of metadata directly from scientific articles in born-digital form.  ...  We developed a set of features for affiliation tokens allowing to parse affiliations with high accuracy (Section 4.4). Acknowledgements First of all, I would like to thank my supervisors Prof.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1710.10201v1">arXiv:1710.10201v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kov3uvsmojextd6ptsxh6xlvqm">fatcat:kov3uvsmojextd6ptsxh6xlvqm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200823155838/https://arxiv.org/pdf/1710.10201v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/1f/eb1fa54ab3229974c35cfa1c84234048a3a91f64.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1710.10201v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Extracting Structural Holes in Iran Medical Genetics Scientists' Co-authorship Network: A Case Study of Faculty Members in Five Selected Centers

Mitra Zarei, Mahmoud Salari, Zahra Jafarzadeh
<span title="2018-12-22">2018</span> <i title="Kowsar Medical Institute"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lresiz5hqfgbvprgortiacoqri" style="color: black;">hormozgan medical journal</a> </i> &nbsp;
There were few structural holes in our network because redundancy and constraint were low. Constraint index and centrality indices can be used for extracting structural holes.  ...  Conclusions: In confirmation of previous studies, the constraint index can be used as a method for extracting structural holes.  ...  Algorithms for extracting structural holes from network data are centrality measures, PageRank, hypertext induced topics search (HITS), and redundancy.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5812/hmj.86617">doi:10.5812/hmj.86617</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/62nm3tzkxzg53nolxfsefedwby">fatcat:62nm3tzkxzg53nolxfsefedwby</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306210447/https://hmedj.neoscriber.org/cdn/dl/3147efa0-19bb-11e9-aa7d-6f8abfe7df56" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0b/89/0b89dc3dc3555ae14b39f34af35c0c8caf2deea5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5812/hmj.86617"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Automatic Workflow for the Formalization of Scholarly Articles' Structural and Semantic Elements [chapter]

Bahar Sateli, René Witte
<span title="">2016</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyopc6cf5ze5vipjlm4aztcffi" style="color: black;">Communications in Computer and Information Science</a> </i> &nbsp;
Combined with a rule-based approach, we demonstrate how we can extract both the structural (e.g., floats and sections) and semantic elements (e.g., authors and their respective affiliations) of the provided  ...  In this year's task, we aim to extract various contextual information from full-text papers using a text mining pipeline that integrates LOD-based Named Entity Recognition (NER) and triplification of the  ...  The pipeline accepts scientific literature in PDF or XML format from local or remote URLs as input and stores the extracted entities in form of an RDF document in a knowledge base as output.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-46565-4_24">doi:10.1007/978-3-319-46565-4_24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lpdzqkxd7vg25m7zjwutm7ob7u">fatcat:lpdzqkxd7vg25m7zjwutm7ob7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190224074406/http://pdfs.semanticscholar.org/5ead/83922bdcee9017a67cf4f7cb5d850b7b9f32.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5e/ad/5ead83922bdcee9017a67cf4f7cb5d850b7b9f32.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-46565-4_24"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search [article]

Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West
<span title="2020-09-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
from papers (e.g., genes, drugs, diseases, patient outcomes); second, combining textual and network information to search and visualize groups of researchers and their ties.  ...  In this paper, we present SciSight, a system for exploratory search of COVID-19 research integrating two key capabilities: first, exploring associations between biomedical facets automatically extracted  ...  In summary, our main contributions: • A working prototype for exploratory search and visualization of COVID-19 scientific literature and collaboration networks, based on a fusion of automatically extracted  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.12668v3">arXiv:2005.12668v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jeb3ik22ebgfnmdywqzfsn2fky">fatcat:jeb3ik22ebgfnmdywqzfsn2fky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200923001715/https://arxiv.org/pdf/2005.12668v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.12668v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Making social sciences more scientific: Literature review by structured data

Vuong Quan-Hoang, Le Anh-Vinh, La Viet-Phuong, Hoang Phuong-Hanh, Ho Manh-Toan
<span title="2020-02-20">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dm4vwtvt55hcxhbkcvoukf7ppu" style="color: black;">MethodsX</a> </i> &nbsp;
•A specialized database for literature review is created using the scientific articles and author profiles from SSHPA, an open database of Vietnamese social scientists' productivity.  ...  The paper proposes a new method for conducting a literature review by structured data of more than 2200 scientific articles and 1300 researchers on SSHPA (Social Sciences and Humanities Peer Awards), an  ...  We extract and customize data from SSHPA with extra information to look for deeper insights.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.mex.2020.100818">doi:10.1016/j.mex.2020.100818</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32257836">pmid:32257836</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7115160/">pmcid:PMC7115160</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bxfdbgohcrg3foxuvuw3xlawde">fatcat:bxfdbgohcrg3foxuvuw3xlawde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200503043333/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7115160&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/99/04/9904c2ded699348f63eab0dc794334d533125f67.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.mex.2020.100818"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115160" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Models and modelling practices for assessing the impact of outbreak response interventions to human vaccine-preventable diseases (1970-2019) - A systematic review [article]

James M. Azam, Xiaoxi Pang, Elisha B. Are, Juliet R.C. Pulliam, Matthew J. Ferrari
<span title="2022-05-30">2022</span> <i title="Cold Spring Harbor Laboratory"> medRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Per included study, we extracted data on author affiliation type (academic institution, governmental, and non-governmental organizations), whether at least one author was affiliated to the country studied  ...  patterns between collaboration types in the human disease literature.  ...  From the model in each paper, we extracted data on the representation of individuals (compartmental vs individual-based), whether spatial structure was represented (yes/no), model structure (deterministic  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2022.05.27.22275642">doi:10.1101/2022.05.27.22275642</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/npp34abfx5funpsckfgpbeybdi">fatcat:npp34abfx5funpsckfgpbeybdi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220611123051/https://www.medrxiv.org/content/medrxiv/early/2022/05/30/2022.05.27.22275642.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0b/7c/0b7c1890f3434a7587352a34eaa5c67f9ea374c4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2022.05.27.22275642"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> medrxiv.org </button> </a>

Detecting signal from science:The structure of research communities and prior knowledge improves prediction of genetic regulatory experiments [article]

Alexander V. Belikov, Andrey Rzhetsky, James Evans
<span title="2020-08-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Here we demonstrate a Bayesian calculus that enables the positive prediction of robust, replicable scientific claims with findings automatically extracted from published literature on gene interactions  ...  Our calculus is built on easily extracted publication meta-data regarding the position of a scientific claim within the web of prior knowledge, and its breadth of support across institutions, authors and  ...  Automated Validation Pipelines In order to predict robust signals from published science, we must first extract claims from published literature.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.09985v1">arXiv:2008.09985v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qhpz477hofhztilefzwls5nawe">fatcat:qhpz477hofhztilefzwls5nawe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200829050228/https://arxiv.org/pdf/2008.09985v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.09985v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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