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
192 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Utilizing social media data for pharmacovigilance: A review.
Abeed Sarker, Rachel Ginn, Azadeh Nikfarjam, Karen O'Connor, Karen Smith, Swetha Jayaraman, Tejaswi Upadhaya, Graciela Gonzalez. J Biomed Inform 2015
192
43

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.
Azadeh Nikfarjam, Abeed Sarker, Karen O'Connor, Rachel Ginn, Graciela Gonzalez. J Am Med Inform Assoc 2015
178
36


Digital drug safety surveillance: monitoring pharmaceutical products in twitter.
Clark C Freifeld, John S Brownstein, Christopher M Menone, Wenjie Bao, Ross Filice, Taha Kass-Hout, Nabarun Dasgupta. Drug Saf 2014
144
29

Identifying potential adverse effects using the web: a new approach to medical hypothesis generation.
Adrian Benton, Lyle Ungar, Shawndra Hill, Sean Hennessy, Jun Mao, Annie Chung, Charles E Leonard, John H Holmes. J Biomed Inform 2011
67
22

Towards Large-scale Twitter Mining for Drug-related Adverse Events.
Jiang Bian, Umit Topaloglu, Fan Yu. SHB12 (2012) 2012
67
20


Novel data-mining methodologies for adverse drug event discovery and analysis.
R Harpaz, W DuMouchel, N H Shah, D Madigan, P Ryan, C Friedman. Clin Pharmacol Ther 2012
204
17

Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review.
Jérémy Lardon, Redhouane Abdellaoui, Florelle Bellet, Hadyl Asfari, Julien Souvignet, Nathalie Texier, Marie-Christine Jaulent, Marie-Noëlle Beyens, Anita Burgun, Cédric Bousquet. J Med Internet Res 2015
51
19

Social media and pharmacovigilance: A review of the opportunities and challenges.
Richard Sloane, Orod Osanlou, David Lewis, Danushka Bollegala, Simon Maskell, Munir Pirmohamed. Br J Clin Pharmacol 2015
53
16

Predicting adverse drug events from personal health messages.
Brant W Chee, Richard Berlin, Bruce Schatz. AMIA Annu Symp Proc 2011
59
15

Under-reporting of adverse drug reactions : a systematic review.
Lorna Hazell, Saad A W Shakir. Drug Saf 2006
925
13

Pattern mining for extraction of mentions of Adverse Drug Reactions from user comments.
Azadeh Nikfarjam, Graciela H Gonzalez. AMIA Annu Symp Proc 2011
45
17

Online discussion of drug side effects and discontinuation among breast cancer survivors.
Jun J Mao, Annie Chung, Adrian Benton, Shawndra Hill, Lyle Ungar, Charles E Leonard, Sean Hennessy, John H Holmes. Pharmacoepidemiol Drug Saf 2013
67
13

Drug Use in the Twittersphere: A Qualitative Contextual Analysis of Tweets About Prescription Drugs.
Lukas Shutler, Lewis S Nelson, Ian Portelli, Courtney Blachford, Jeanmarie Perrone. J Addict Dis 2015
30
23


Social Media Listening for Routine Post-Marketing Safety Surveillance.
Gregory E Powell, Harry A Seifert, Tjark Reblin, Phil J Burstein, James Blowers, J Alan Menius, Jeffery L Painter, Michele Thomas, Carrie E Pierce, Harold W Rodriguez,[...]. Drug Saf 2016
46
15

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts.
Ioannis Korkontzelos, Azadeh Nikfarjam, Matthew Shardlow, Abeed Sarker, Sophia Ananiadou, Graciela H Gonzalez. J Biomed Inform 2016
39
17

Mining adverse drug reactions from online healthcare forums using hidden Markov model.
Hariprasad Sampathkumar, Xue-wen Chen, Bo Luo. BMC Med Inform Decis Mak 2014
33
18

Text mining for adverse drug events: the promise, challenges, and state of the art.
Rave Harpaz, Alison Callahan, Suzanne Tamang, Yen Low, David Odgers, Sam Finlayson, Kenneth Jung, Paea LePendu, Nigam H Shah. Drug Saf 2014
92
10


Pharmacovigilance on twitter? Mining tweets for adverse drug reactions.
Karen O'Connor, Pranoti Pimpalkhute, Azadeh Nikfarjam, Rachel Ginn, Karen L Smith, Graciela Gonzalez. AMIA Annu Symp Proc 2014
45
13

Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.
Abeed Sarker, Karen O'Connor, Rachel Ginn, Matthew Scotch, Karen Smith, Dan Malone, Graciela Gonzalez. Drug Saf 2016
64
10


Cadec: A corpus of adverse drug event annotations.
Sarvnaz Karimi, Alejandro Metke-Jimenez, Madonna Kemp, Chen Wang. J Biomed Inform 2015
40
12

Crowdsourcing Twitter annotations to identify first-hand experiences of prescription drug use.
Nestor Alvaro, Mike Conway, Son Doan, Christoph Lofi, John Overington, Nigel Collier. J Biomed Inform 2015
36
13

Analysis of patients' narratives posted on social media websites on benfluorex's (Mediator® ) withdrawal in France.
M Abou Taam, C Rossard, L Cantaloube, N Bouscaren, G Roche, L Pochard, F Montastruc, A Herxheimer, J L Montastruc, H Bagheri. J Clin Pharm Ther 2014
23
21


Toward enhanced pharmacovigilance using patient-generated data on the internet.
R W White, R Harpaz, N H Shah, W DuMouchel, E Horvitz. Clin Pharmacol Ther 2014
52
9

Detecting influenza epidemics using search engine query data.
Jeremy Ginsberg, Matthew H Mohebbi, Rajan S Patel, Lynnette Brammer, Mark S Smolinski, Larry Brilliant. Nature 2009
8


Extraction of potential adverse drug events from medical case reports.
Harsha Gurulingappa, Abdul Mateen-Rajput, Luca Toldo. J Biomed Semantics 2012
76
8

PREDOSE: a semantic web platform for drug abuse epidemiology using social media.
Delroy Cameron, Gary A Smith, Raminta Daniulaityte, Amit P Sheth, Drashti Dave, Lu Chen, Gaurish Anand, Robert Carlson, Kera Z Watkins, Russel Falck. J Biomed Inform 2013
42
9

Toward a complete dataset of drug-drug interaction information from publicly available sources.
Serkan Ayvaz, John Horn, Oktie Hassanzadeh, Qian Zhu, Johann Stan, Nicholas P Tatonetti, Santiago Vilar, Mathias Brochhausen, Matthias Samwald, Majid Rastegar-Mojarad,[...]. J Biomed Inform 2015
55
7

Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification.
Asma Ben Abacha, Md Faisal Mahbub Chowdhury, Aikaterini Karanasiou, Yassine Mrabet, Alberto Lavelli, Pierre Zweigenbaum. J Biomed Inform 2015
31
12

Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach.
Sun Kim, Haibin Liu, Lana Yeganova, W John Wilbur. J Biomed Inform 2015
54
7

Evaluating Social Media Networks in Medicines Safety Surveillance: Two Case Studies.
Preciosa M Coloma, Benedikt Becker, Miriam C J M Sturkenboom, Erik M van Mulligen, Jan A Kors. Drug Saf 2015
28
14

Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU-ADR project.
Paul Avillach, Jean-Charles Dufour, Gayo Diallo, Francesco Salvo, Michel Joubert, Frantz Thiessard, Fleur Mougin, Gianluca Trifirò, Annie Fourrier-Réglat, Antoine Pariente,[...]. J Am Med Inform Assoc 2013
50
8

Drug related problems with Antiparkinsonian agents: consumer Internet reports versus published data.
Sabrina Schröder, York Francis Zöllner, Marion Schaefer. Pharmacoepidemiol Drug Saf 2007
24
16


Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.
Xiaoyan Wang, George Hripcsak, Marianthi Markatou, Carol Friedman. J Am Med Inform Assoc 2009
154
6

Exploring Spanish health social media for detecting drug effects.
Isabel Segura-Bedmar, Paloma Martínez, Ricardo Revert, Julián Moreno-Schneider. BMC Med Inform Decis Mak 2015
18
22

What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer.
Mike Donald Tapi Nzali, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Opitz. JMIR Med Inform 2017
33
12


Web search query volume as a measure of pharmaceutical utilization and changes in prescribing patterns.
Jacob E Simmering, Linnea A Polgreen, Philip M Polgreen. Res Social Adm Pharm 2014
18
16

Social media and networks in pharmacovigilance: boon or bane?
I Ralph Edwards, Marie Lindquist. Drug Saf 2011
27
11

A pipeline to extract drug-adverse event pairs from multiple data sources.
Srijyothsna Yeleswarapu, Aditya Rao, Thomas Joseph, Vangala Govindakrishnan Saipradeep, Rajgopal Srinivasan. BMC Med Inform Decis Mak 2014
25
12

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions.
Rave Harpaz, Santiago Vilar, William Dumouchel, Hojjat Salmasian, Krystl Haerian, Nigam H Shah, Herbert S Chase, Carol Friedman. J Am Med Inform Assoc 2013
103
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.