A citation-based method for searching scientific literature

Jeremy Ginsberg, Matthew H Mohebbi, Rajan S Patel, Lynnette Brammer, Mark S Smolinski, Larry Brilliant. Nature 2009
Times Cited: 1244







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



Times Cited
  Times     Co-cited
Similarity


Big data. The parable of Google Flu: traps in big data analysis.
David Lazer, Ryan Kennedy, Gary King, Alessandro Vespignani. Science 2014
596
14

Using internet searches for influenza surveillance.
Philip M Polgreen, Yiling Chen, David M Pennock, Forrest D Nelson. Clin Infect Dis 2008
233
10


The use of google trends in health care research: a systematic review.
Sudhakar V Nuti, Brian Wayda, Isuru Ranasinghe, Sisi Wang, Rachel P Dreyer, Serene I Chen, Karthik Murugiah. PLoS One 2014
397
9

An interactive web-based dashboard to track COVID-19 in real time.
Ensheng Dong, Hongru Du, Lauren Gardner. Lancet Infect Dis 2020
8

Accurate estimation of influenza epidemics using Google search data via ARGO.
Shihao Yang, Mauricio Santillana, S C Kou. Proc Natl Acad Sci U S A 2015
135
7


Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review.
Amaryllis Mavragani, Gabriela Ochoa, Konstantinos P Tsagarakis. J Med Internet Res 2018
94
6


Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020.
Cuilian Li, Li Jia Chen, Xueyu Chen, Mingzhi Zhang, Chi Pui Pang, Haoyu Chen. Euro Surveill 2020
134
6

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.
Mauricio Santillana, André T Nguyen, Mark Dredze, Michael J Paul, Elaine O Nsoesie, John S Brownstein. PLoS Comput Biol 2015
181
6

High correlation of Middle East respiratory syndrome spread with Google search and Twitter trends in Korea.
Soo-Yong Shin, Dong-Woo Seo, Jisun An, Haewoon Kwak, Sung-Han Kim, Jin Gwack, Min-Woo Jo. Sci Rep 2016
52
11

Correlations Between COVID-19 Cases and Google Trends Data in the United States: A State-by-State Analysis.
Shyam J Kurian, Atiq Ur Rehman Bhatti, Mohammed Ali Alvi, Henry H Ting, Curtis Storlie, Patrick M Wilson, Nilay D Shah, Hongfang Liu, Mohamad Bydon. Mayo Clin Proc 2020
20
30

Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis.
Maria Effenberger, Andreas Kronbichler, Jae Il Shin, Gert Mayer, Herbert Tilg, Paul Perco. Int J Infect Dis 2020
100
6

COVID-19 predictability in the United States using Google Trends time series.
Amaryllis Mavragani, Konstantinos Gkillas. Sci Rep 2020
31
19


Google trends: a web-based tool for real-time surveillance of disease outbreaks.
Herman Anthony Carneiro, Eleftherios Mylonakis. Clin Infect Dis 2009
285
6

Predicting new diagnoses of HIV infection using internet search engine data.
Anupam B Jena, Pinar Karaca-Mandic, Lesley Weaver, Seth A Seabury. Clin Infect Dis 2013
34
14

More diseases tracked by using Google Trends.
Camille Pelat, Clément Turbelin, Avner Bar-Hen, Antoine Flahault, Alain- Jacques Valleron. Emerg Infect Dis 2009
99
5


Google Trends in Infodemiology and Infoveillance: Methodology Framework.
Amaryllis Mavragani, Gabriela Ochoa. JMIR Public Health Surveill 2019
138
5


Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches.
Fred S Lu, Mohammad W Hattab, Cesar Leonardo Clemente, Matthew Biggerstaff, Mauricio Santillana. Nat Commun 2019
34
11

Advances in using Internet searches to track dengue.
Shihao Yang, Samuel C Kou, Fred Lu, John S Brownstein, Nicholas Brooke, Mauricio Santillana. PLoS Comput Biol 2017
40
10

When Google got flu wrong.
Declan Butler. Nature 2013
178
4


Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study.
Seyed Mohammad Ayyoubzadeh, Seyed Mehdi Ayyoubzadeh, Hoda Zahedi, Mahnaz Ahmadi, Sharareh R Niakan Kalhori. JMIR Public Health Surveill 2020
114
4

Reappraising the utility of Google Flu Trends.
Sasikiran Kandula, Jeffrey Shaman. PLoS Comput Biol 2019
25
16

The utility of "Google Trends" for epidemiological research: Lyme disease as an example.
Ari Seifter, Alison Schwarzwalder, Kate Geis, John Aucott. Geospat Health 2010
108
4

Global disease monitoring and forecasting with Wikipedia.
Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y Del Valle, Reid Priedhorsky. PLoS Comput Biol 2014
75
5

Google Trends Data and COVID-19 in Europe: Correlations and model enhancement are European wide.
Mihály Sulyok, Tamás Ferenci, Mark Walker. Transbound Emerg Dis 2021
10
40

Digital disease detection--harnessing the Web for public health surveillance.
John S Brownstein, Clark C Freifeld, Lawrence C Madoff. N Engl J Med 2009
343
4

Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemic.
Shahir Masri, Jianfeng Jia, Chen Li, Guofa Zhou, Ming-Chieh Lee, Guiyun Yan, Jun Wu. BMC Public Health 2019
29
13


HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports.
Clark C Freifeld, Kenneth D Mandl, Ben Y Reis, John S Brownstein. J Am Med Inform Assoc 2008
185
4

Psychological language on Twitter predicts county-level heart disease mortality.
Johannes C Eichstaedt, Hansen Andrew Schwartz, Margaret L Kern, Gregory Park, Darwin R Labarthe, Raina M Merchant, Sneha Jha, Megha Agrawal, Lukasz A Dziurzynski, Maarten Sap,[...]. Psychol Sci 2015
141
4


Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
Emily H Chan, Vikram Sahai, Corrie Conrad, John S Brownstein. PLoS Negl Trop Dis 2011
138
4

Clinical Characteristics of Coronavirus Disease 2019 in China.
Wei-Jie Guan, Zheng-Yi Ni, Yu Hu, Wen-Hua Liang, Chun-Quan Ou, Jian-Xing He, Lei Liu, Hong Shan, Chun-Liang Lei, David S C Hui,[...]. N Engl J Med 2020
3

Can Google Trends data improve forecasting of Lyme disease incidence?
Máté Kapitány-Fövény, Tamás Ferenci, Zita Sulyok, Josua Kegele, Hardy Richter, István Vályi-Nagy, Mihály Sulyok. Zoonoses Public Health 2019
12
25

Social Media- and Internet-Based Disease Surveillance for Public Health.
Allison E Aiello, Audrey Renson, Paul N Zivich. Annu Rev Public Health 2020
53
5

A new source of data for public health surveillance: Facebook likes.
Steven Gittelman, Victor Lange, Carol A Gotway Crawford, Catherine A Okoro, Eugene Lieb, Satvinder S Dhingra, Elaine Trimarchi. J Med Internet Res 2015
51
5

Regularization Paths for Generalized Linear Models via Coordinate Descent.
Jerome Friedman, Trevor Hastie, Rob Tibshirani. J Stat Softw 2010
3

Mobility network models of COVID-19 explain inequities and inform reopening.
Serina Chang, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec. Nature 2021
415
3

Accurate regional influenza epidemics tracking using Internet search data.
Shaoyang Ning, Shihao Yang, S C Kou. Sci Rep 2019
11
27


Real-time influenza forecasts during the 2012-2013 season.
Jeffrey Shaman, Alicia Karspeck, Wan Yang, James Tamerius, Marc Lipsitch. Nat Commun 2013
151
3

Using Google Trends for influenza surveillance in South China.
Min Kang, Haojie Zhong, Jianfeng He, Shannon Rutherford, Fen Yang. PLoS One 2013
89
3

Early detection of disease outbreaks using the Internet.
Kumanan Wilson, John S Brownstein. CMAJ 2009
114
3

Monitoring seasonal influenza epidemics by using internet search data with an ensemble penalized regression model.
Pi Guo, Jianjun Zhang, Li Wang, Shaoyi Yang, Ganfeng Luo, Changyu Deng, Ye Wen, Qingying Zhang. Sci Rep 2017
19
15


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.