A citation-based method for searching scientific literature

Ming Yang, Melody Kiang, Wei Shang. J Biomed Inform 2015
Times Cited: 58







List of co-cited articles
194 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Leveraging social networks for toxicovigilance.
Michael Chary, Nicholas Genes, Andrew McKenzie, Alex F Manini. J Med Toxicol 2013
23
8



Pharmacovigilance and use of online health information.
Marco Masoni, Maria Renza Guelfi, Antonio Conti, Gian Franco Gensini. Trends Pharmacol Sci 2013
4
50

Intensive monitoring of duloxetine: results of a web-based intensive monitoring study.
Linda Härmark, Eugène van Puijenbroek, Kees van Grootheest. Eur J Clin Pharmacol 2013
16
12


Kernel approaches for genic interaction extraction.
Seonho Kim, Juntae Yoon, Jihoon Yang. Bioinformatics 2008
33
6


Health-related hot topic detection in online communities using text clustering.
Yingjie Lu, Pengzhu Zhang, Jingfang Liu, Jia Li, Shasha Deng. PLoS One 2013
42
4

Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis.
André V Carreiro, Pedro M T Amaral, Susana Pinto, Pedro Tomás, Mamede de Carvalho, Sara C Madeira. J Biomed Inform 2015
15
13


"Sub is a weird drug:" A web-based study of lay attitudes about use of buprenorphine to self-treat opioid withdrawal symptoms.
Raminta Daniulaityte, Robert Carlson, Gregory Brigham, Delroy Cameron, Amit Sheth. Am J Addict 2015
18
11

Assessing surgical site infection risk factors using electronic medical records and text mining.
James D Michelson, Jenna S Pariseau, William C Paganelli. Am J Infect Control 2014
12
16

Sentiment analysis in medical settings: New opportunities and challenges.
Kerstin Denecke, Yihan Deng. Artif Intell Med 2015
41
4

Mining Health Social Media with Sentiment Analysis.
Fu-Chen Yang, Anthony J T Lee, Sz-Chen Kuo. J Med Syst 2016
21
9

Exploiting heterogeneous publicly available data sources for drug safety surveillance: computational framework and case studies.
Vassilis G Koutkias, Agnès Lillo-Le Louët, Marie-Christine Jaulent. Expert Opin Drug Saf 2017
11
18

A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions.
Eugène P van Puijenbroek, Andrew Bate, Hubert G M Leufkens, Marie Lindquist, Roland Orre, Antoine C G Egberts. Pharmacoepidemiol Drug Saf 2002
548
3

Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs.
Mei Liu, Yonghui Wu, Yukun Chen, Jingchun Sun, Zhongming Zhao, Xue-wen Chen, Michael Edwin Matheny, Hua Xu. J Am Med Inform Assoc 2012
142
3


The influence of social networking sites on health behavior change: a systematic review and meta-analysis.
Liliana Laranjo, Amaël Arguel, Ana L Neves, Aideen M Gallagher, Ruth Kaplan, Nathan Mortimer, Guilherme A Mendes, Annie Y S Lau. J Am Med Inform Assoc 2015
264
3

Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task.
Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Jiao Li, Thomas C Wiegers, Zhiyong Lu. Database (Oxford) 2016
81
3

Automated Summarization of Publications Associated with Adverse Drug Reactions from PubMed.
Joseph Finkelstein, Qinlang Chen, Hayden Adams, Carol Friedman. AMIA Jt Summits Transl Sci Proc 2016
4
50

Efficient visual search of videos cast as text retrieval.
Josef Sivic, Andrew Zisserman. IEEE Trans Pattern Anal Mach Intell 2009
53
3

Big data. The parable of Google Flu: traps in big data analysis.
David Lazer, Ryan Kennedy, Gary King, Alessandro Vespignani. Science 2014
596
3

The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process.
Cedric Bousquet, Badisse Dahamna, Sylvie Guillemin-Lanne, Stefan J Darmoni, Carole Faviez, Charles Huot, Sandrine Katsahian, Vincent Leroux, Suzanne Pereira, Christophe Richard,[...]. JMIR Res Protoc 2017
13
15

FINDING POTENTIALLY UNSAFE NUTRITIONAL SUPPLEMENTS FROM USER REVIEWS WITH TOPIC MODELING.
Ryan Sullivan, Abeed Sarker, Karen O'Connor, Amanda Goodin, Mark Karlsrud, Graciela Gonzalez. Pac Symp Biocomput 2016
10
20

Web 2.0 chronic disease self-management for older adults: a systematic review.
Michael Stellefson, Beth Chaney, Adam E Barry, Enmanuel Chavarria, Bethany Tennant, Kim Walsh-Childers, P S Sriram, Justin Zagora. J Med Internet Res 2013
162
3

Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?
Redhouane Abdellaoui, Stéphane Schück, Nathalie Texier, Anita Burgun. JMIR Public Health Surveill 2017
12
16


Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation.
Bissan Audeh, Michel Beigbeder, Antoine Zimmermann, Philippe Jaillon, Cédric Bousquet. PLoS One 2017
7
28

Informativeness of patient initial reports of adverse drug reactions. Can it be improved by a pharmacovigilance centre?
F Kheloufi, A Default, F Rouby, D Laugier-Castellan, M Boyer, B Rodrigues, J Ponte-Astoul, M J Jean-Pastor, O Blin, J Micallef. Eur J Clin Pharmacol 2017
6
33

Quality criteria for early signals of possible adverse drug reactions.
I R Edwards, M Lindquist, B E Wiholm, E Napke. Lancet 1990
73
3


Patient perspectives of dabigatran: analysis of online discussion forums.
Mary S Vaughan Sarrazin, Peter Cram, Alexandur Mazur, Melissa Ward, Heather Schacht Reisinger. Patient 2014
27
7

Utility of social media and crowd-sourced data for pharmacovigilance: a scoping review protocol.
Andrea C Tricco, Wasifa Zarin, Erin Lillie, Ba Pham, Sharon E Straus. BMJ Open 2017
17
11

CHEMDNER: The drugs and chemical names extraction challenge.
Martin Krallinger, Florian Leitner, Obdulia Rabal, Miguel Vazquez, Julen Oyarzabal, Alfonso Valencia. J Cheminform 2015
79
3

A tale of two countries: International comparison of online doctor reviews between China and the United States.
Haijing Hao, Kunpeng Zhang, Weiguang Wang, Gordon Gao. Int J Med Inform 2017
28
7

Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms.
Yongcheng Zhan, Ruoran Liu, Qiudan Li, Scott James Leischow, Daniel Dajun Zeng. J Med Internet Res 2017
38
5

Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.
Yuan Luo, William K Thompson, Timothy M Herr, Zexian Zeng, Mark A Berendsen, Siddhartha R Jonnalagadda, Matthew B Carson, Justin Starren. Drug Saf 2017
62
3

Lay Crowd-Sourced Expertise (LCE) and Its Influence on the New Role of Patients: Ethical and Societal Issues.
Eugenia Lamas, Rodrigo Salinas, Marcela Ferrer, Cedric Bousquet, Dominique Vuillaume. Stud Health Technol Inform 2016
2
100

Identifying Diseases, Drugs, and Symptoms in Twitter.
Antonio Jimeno-Yepes, Andrew MacKinlay, Bo Han, Qiang Chen. Stud Health Technol Inform 2015
15
13

Clinicians' Reports in Electronic Health Records Versus Patients' Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin.
Maxim Topaz, Kenneth Lai, Neil Dhopeshwarkar, Diane L Seger, Roee Sa'adon, Foster Goss, Ronen Rozenblum, Li Zhou. Drug Saf 2016
17
11

Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts.
Carrie E Pierce, Khaled Bouri, Carol Pamer, Scott Proestel, Harold W Rodriguez, Hoa Van Le, Clark C Freifeld, John S Brownstein, Mark Walderhaug, I Ralph Edwards,[...]. Drug Saf 2017
55
3

A Study of the Demographics of Web-Based Health-Related Social Media Users.
Shouq A Sadah, Moloud Shahbazi, Matthew T Wiley, Vagelis Hristidis. J Med Internet Res 2015
35
5

A simple algorithm for identifying negated findings and diseases in discharge summaries.
W W Chapman, W Bridewell, P Hanbury, G F Cooper, B G Buchanan. J Biomed Inform 2001
460
3

The EU-ADR corpus: annotated drugs, diseases, targets, and their relationships.
Erik M van Mulligen, Annie Fourrier-Reglat, David Gurwitz, Mariam Molokhia, Ainhoa Nieto, Gianluca Trifiro, Jan A Kors, Laura I Furlong. J Biomed Inform 2012
50
4

An integrated pharmacokinetics ontology and corpus for text mining.
Heng-Yi Wu, Shreyas Karnik, Abhinita Subhadarshini, Zhiping Wang, Santosh Philips, Xu Han, Chienwei Chiang, Lei Liu, Malaz Boustani, Luis M Rocha,[...]. BMC Bioinformatics 2013
27
7

Extraction of pharmacokinetic evidence of drug-drug interactions from the literature.
Artemy Kolchinsky, Anália Lourenço, Heng-Yi Wu, Lang Li, Luis M Rocha. PLoS One 2015
16
12

An attention-based effective neural model for drug-drug interactions extraction.
Wei Zheng, Hongfei Lin, Ling Luo, Zhehuan Zhao, Zhengguang Li, Yijia Zhang, Zhihao Yang, Jian Wang. BMC Bioinformatics 2017
34
5


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.