A citation-based method for searching scientific literature

Johannes C Eichstaedt, Robert J Smith, Raina M Merchant, Lyle H Ungar, Patrick Crutchley, Daniel Preoţiuc-Pietro, David A Asch, H Andrew Schwartz. Proc Natl Acad Sci U S A 2018
Times Cited: 106







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



Times Cited
  Times     Co-cited
Similarity


Forecasting the onset and course of mental illness with Twitter data.
Andrew G Reece, Andrew J Reagan, Katharina L M Lix, Peter Sheridan Dodds, Christopher M Danforth, Ellen J Langer. Sci Rep 2017
68
26

Natural Language Processing of Social Media as Screening for Suicide Risk.
Glen Coppersmith, Ryan Leary, Patrick Crutchley, Alex Fine. Biomed Inform Insights 2018
64
23

Personality, gender, and age in the language of social media: the open-vocabulary approach.
H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Lukasz Dziurzynski, Stephanie M Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin E P Seligman,[...]. PLoS One 2013
171
13

Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media.
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar. Proc SIGCHI Conf Hum Factor Comput Syst 2016
112
12

A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals.
Michael L Birnbaum, Sindhu Kiranmai Ernala, Asra F Rizvi, Munmun De Choudhury, John M Kane. J Med Internet Res 2017
45
20

Evaluating the predictability of medical conditions from social media posts.
Raina M Merchant, David A Asch, Patrick Crutchley, Lyle H Ungar, Sharath C Guntuku, Johannes C Eichstaedt, Shawndra Hill, Kevin Padrez, Robert J Smith, H Andrew Schwartz. PLoS One 2019
25
36

Characterisation of mental health conditions in social media using Informed Deep Learning.
George Gkotsis, Anika Oellrich, Sumithra Velupillai, Maria Liakata, Tim J P Hubbard, Richard J B Dobson, Rina Dutta. Sci Rep 2017
42
19

Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook.
M L Birnbaum, S K Ernala, A F Rizvi, E Arenare, A R Van Meter, M De Choudhury, J M Kane. NPJ Schizophr 2019
30
26


Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department.
Kevin A Padrez, Lyle Ungar, Hansen Andrew Schwartz, Robert J Smith, Shawndra Hill, Tadas Antanavicius, Dana M Brown, Patrick Crutchley, David A Asch, Raina M Merchant. BMJ Qual Saf 2016
38
18

Automatic personality assessment through social media language.
Gregory Park, H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Michal Kosinski, David J Stillwell, Lyle H Ungar, Martin E P Seligman. J Pers Soc Psychol 2015
75
9

Researching Mental Health Disorders in the Era of Social Media: Systematic Review.
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin. J Med Internet Res 2017
61
11

Prediction of psychosis across protocols and risk cohorts using automated language analysis.
Cheryl M Corcoran, Facundo Carrillo, Diego Fernández-Slezak, Gillinder Bedi, Casimir Klim, Daniel C Javitt, Carrie E Bearden, Guillermo A Cecchi. World Psychiatry 2018
111
7

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study.
Robert J Smith, Patrick Crutchley, H Andrew Schwartz, Lyle Ungar, Frances Shofer, Kevin A Padrez, Raina M Merchant. J Med Internet Res 2017
16
37


Private traits and attributes are predictable from digital records of human behavior.
Michal Kosinski, David Stillwell, Thore Graepel. Proc Natl Acad Sci U S A 2013
204
6

Activities on Facebook reveal the depressive state of users.
Sungkyu Park, Sang Won Lee, Jinah Kwak, Meeyoung Cha, Bumseok Jeong. J Med Internet Res 2013
39
15

Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study.
Sohrab Saeb, Mi Zhang, Christopher J Karr, Stephen M Schueller, Marya E Corden, Konrad P Kording, David C Mohr. J Med Internet Res 2015
218
6


Machine learning in mental health: a scoping review of methods and applications.
Adrian B R Shatte, Delyse M Hutchinson, Samantha J Teague. Psychol Med 2019
116
6

Experimental evidence of massive-scale emotional contagion through social networks.
Adam D I Kramer, Jamie E Guillory, Jeffrey T Hancock. Proc Natl Acad Sci U S A 2014
389
5

Language of ADHD in Adults on Social Media.
Sharath Chandra Guntuku, J Russell Ramsay, Raina M Merchant, Lyle H Ungar. J Atten Disord 2019
19
26

Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study.
Qijin Cheng, Tim Mh Li, Chi-Leung Kwok, Tingshao Zhu, Paul Sf Yip. J Med Internet Res 2017
51
9

Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.
Thomas Insel, Bruce Cuthbert, Marjorie Garvey, Robert Heinssen, Daniel S Pine, Kevin Quinn, Charles Sanislow, Philip Wang. Am J Psychiatry 2010
5

PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA.
H Andrew Schwartz, Maarten Sap, Margaret L Kern, Johannes C Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory Park, David Stillwell,[...]. Pac Symp Biocomput 2016
22
22

Psychological aspects of natural language. use: our words, our selves.
James W Pennebaker, Matthias R Mehl, Kate G Niederhoffer. Annu Rev Psychol 2003
385
5

A brief measure for assessing generalized anxiety disorder: the GAD-7.
Robert L Spitzer, Kurt Kroenke, Janet B W Williams, Bernd Löwe. Arch Intern Med 2006
5

The PHQ-9: validity of a brief depression severity measure.
K Kroenke, R L Spitzer, J B Williams. J Gen Intern Med 2001
5

Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis.
Angela Leis, Francesco Ronzano, Miguel A Mayer, Laura I Furlong, Ferran Sanz. J Med Internet Res 2019
18
27


Computer-based personality judgments are more accurate than those made by humans.
Wu Youyou, Michal Kosinski, David Stillwell. Proc Natl Acad Sci U S A 2015
88
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
135
4

Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.
Ziad Obermeyer, Ezekiel J Emanuel. N Engl J Med 2016
849
4

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media.
Amir Hossein Yazdavar, Hussein S Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Proc IEEE ACM Int Conf Adv Soc Netw Anal Min 2017
15
26

Can Twitter be used to predict county excessive alcohol consumption rates?
Brenda Curtis, Salvatore Giorgi, Anneke E K Buffone, Lyle H Ungar, Robert D Ashford, Jessie Hemmons, Dan Summers, Casey Hamilton, H Andrew Schwartz. PLoS One 2018
15
26

Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health.
Jukka-Pekka Onnela, Scott L Rauch. Neuropsychopharmacology 2016
195
4

Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.
Dror Ben-Zeev, Emily A Scherer, Rui Wang, Haiyi Xie, Andrew T Campbell. Psychiatr Rehabil J 2015
124
4

The relationship between mobile phone location sensor data and depressive symptom severity.
Sohrab Saeb, Emily G Lattie, Stephen M Schueller, Konrad P Kording, David C Mohr. PeerJ 2016
75
5

Word use in the poetry of suicidal and nonsuicidal poets.
S W Stirman, J W Pennebaker. Psychosom Med 2001
121
4

Twitter: a good place to detect health conditions.
Víctor M Prieto, Sérgio Matos, Manuel Álvarez, Fidel Cacheda, José Luís Oliveira. PLoS One 2014
44
9

Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates.
Elizabeth M Seabrook, Margaret L Kern, Ben D Fulcher, Nikki S Rickard. J Med Internet Res 2018
20
20

Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram.
Benjamin J Ricard, Lisa A Marsch, Benjamin Crosier, Saeed Hassanpour. J Med Internet Res 2018
20
20


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
4

Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety.
Sohrab Saeb, Emily G Lattie, Konrad P Kording, David C Mohr. JMIR Mhealth Uhealth 2017
27
14

Early Linguistic Markers of Trauma-Specific Processing Predict Post-trauma Adjustment.
Birgit Kleim, Andrea B Horn, Rainer Kraehenmann, Matthias R Mehl, Anke Ehlers. Front Psychiatry 2018
11
36

Artificial Intelligence for Mental Health and Mental Illnesses: an Overview.
Sarah Graham, Colin Depp, Ellen E Lee, Camille Nebeker, Xin Tu, Ho-Cheol Kim, Dilip V Jeste. Curr Psychiatry Rep 2019
58
6

Machine Learning Approaches for Clinical Psychology and Psychiatry.
Dominic B Dwyer, Peter Falkai, Nikolaos Koutsouleris. Annu Rev Clin Psychol 2018
208
4

Critical slowing down as early warning for the onset and termination of depression.
Ingrid A van de Leemput, Marieke Wichers, Angélique O J Cramer, Denny Borsboom, Francis Tuerlinckx, Peter Kuppens, Egbert H van Nes, Wolfgang Viechtbauer, Erik J Giltay, Steven H Aggen,[...]. Proc Natl Acad Sci U S A 2014
247
4



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.