A citation-based method for searching scientific literature

Adrian Benton, Lyle Ungar, Shawndra Hill, Sean Hennessy, Jun Mao, Annie Chung, Charles E Leonard, John H Holmes. J Biomed Inform 2011
Times Cited: 67







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



Times Cited
  Times     Co-cited
Similarity


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
179
40


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
197
34

Towards Large-scale Twitter Mining for Drug-related Adverse Events.
Jiang Bian, Umit Topaloglu, Fan Yu. SHB12 (2012) 2012
68
32

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
32

Pattern mining for extraction of mentions of Adverse Drug Reactions from user comments.
Azadeh Nikfarjam, Graciela H Gonzalez. AMIA Annu Symp Proc 2011
45
46

Predicting adverse drug events from personal health messages.
Brant W Chee, Richard Berlin, Bruce Schatz. AMIA Annu Symp Proc 2011
59
30

A side effect resource to capture phenotypic effects of drugs.
Michael Kuhn, Monica Campillos, Ivica Letunic, Lars Juhl Jensen, Peer Bork. Mol Syst Biol 2010
509
22

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
207
22

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
22

Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports.
Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts, Juliane Fluck, Martin Hofmann-Apitius, Luca Toldo. J Biomed Inform 2012
76
19

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
39


Cadec: A corpus of adverse drug event annotations.
Sarvnaz Karimi, Alejandro Metke-Jimenez, Madonna Kemp, Chen Wang. J Biomed Inform 2015
43
27

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
16

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
44

Extraction of potential adverse drug events from medical case reports.
Harsha Gurulingappa, Abdul Mateen-Rajput, Luca Toldo. J Biomed Semantics 2012
77
14

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
14

Under-reporting of adverse drug reactions : a systematic review.
Lorna Hazell, Saad A W Shakir. Drug Saf 2006
939
13


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
17



Web-scale pharmacovigilance: listening to signals from the crowd.
Ryen W White, Nicholas P Tatonetti, Nigam H Shah, Russ B Altman, Eric Horvitz. J Am Med Inform Assoc 2013
99
11

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
44


Drug related problems with Antiparkinsonian agents: consumer Internet reports versus published data.
Sabrina Schröder, York Francis Zöllner, Marion Schaefer. Pharmacoepidemiol Drug Saf 2007
25
28

Social media and networks in pharmacovigilance: boon or bane?
I Ralph Edwards, Marie Lindquist. Drug Saf 2011
27
25

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
15


An overview of MetaMap: historical perspective and recent advances.
Alan R Aronson, François-Michel Lang. J Am Med Inform Assoc 2010
570
8

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
26



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
12

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
11


Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients.
Munir Pirmohamed, Sally James, Shaun Meakin, Chris Green, Andrew K Scott, Thomas J Walley, Keith Farrar, B Kevin Park, Alasdair M Breckenridge. BMJ 2004
8


An ensemble method for extracting adverse drug events from social media.
Jing Liu, Songzheng Zhao, Xiaodi Zhang. Artif Intell Med 2016
26
23

Predicting adverse drug reactions using publicly available PubChem BioAssay data.
Y Pouliot, A P Chiang, A J Butte. Clin Pharmacol Ther 2011
56
8

Using a shallow linguistic kernel for drug-drug interaction extraction.
Isabel Segura-Bedmar, Paloma Martínez, Cesar de Pablo-Sánchez. J Biomed Inform 2011
60
8

A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance.
Yanqing Ji, Hao Ying, Peter Dews, Ayman Mansour, John Tran, Richard E Miller, R Michael Massanari. IEEE Trans Inf Technol Biomed 2011
27
18


Phonetic spelling filter for keyword selection in drug mention mining from social media.
Pranoti Pimpalkhute, Apurv Patki, Azadeh Nikfarjam, Graciela Gonzalez. AMIA Jt Summits Transl Sci Proc 2014
19
26


Extraction of adverse drug effects from clinical records.
Eiji Aramaki, Yasuhide Miura, Masatsugu Tonoike, Tomoko Ohkuma, Hiroshi Masuichi, Kayo Waki, Kazuhiko Ohe. Stud Health Technol Inform 2010
48
10

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages.
Suppawong Tuarob, Conrad S Tucker, Marcel Salathe, Nilam Ram. J Biomed Inform 2014
28
17

Exploring and developing consumer health vocabularies.
Qing T Zeng, Tony Tse. J Am Med Inform Assoc 2006
107
7

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
8


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.