These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 27455878)

  • 1. Collective Influence Algorithm to find influencers via optimal percolation in massively large social media.
    Morone F; Min B; Bo L; Mari R; Makse HA
    Sci Rep; 2016 Jul; 6():30062. PubMed ID: 27455878
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Influence maximization in complex networks through optimal percolation.
    Morone F; Makse HA
    Nature; 2015 Aug; 524(7563):65-8. PubMed ID: 26131931
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fragmenting networks by targeting collective influencers at a mesoscopic level.
    Kobayashi T; Masuda N
    Sci Rep; 2016 Nov; 6():37778. PubMed ID: 27886251
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Characteristics of General Surgery Social Media Influencers on Twitter.
    Elson NC; Le DT; Johnson MD; Reyna C; Shaughnessy EA; Goodman MD; Lewis JD
    Am Surg; 2021 Mar; 87(3):492-498. PubMed ID: 33054321
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Twitter use in scientific communication revealed by visualization of information spreading by influencers within half a year after the Fukushima Daiichi nuclear power plant accident.
    Tsubokura M; Onoue Y; Torii HA; Suda S; Mori K; Nishikawa Y; Ozaki A; Uno K
    PLoS One; 2018; 13(9):e0203594. PubMed ID: 30192829
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Social influence maximization under empirical influence models.
    Aral S; Dhillon PS
    Nat Hum Behav; 2018 Jun; 2(6):375-382. PubMed ID: 31024158
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detecting and modelling real percolation and phase transitions of information on social media.
    Xie J; Meng F; Sun J; Ma X; Yan G; Hu Y
    Nat Hum Behav; 2021 Sep; 5(9):1161-1168. PubMed ID: 33795858
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Top 100 Social Media Influencers in Plastic Surgery on Twitter: Who Should You Be Following?
    Chandawarkar AA; Gould DJ; Grant Stevens W
    Aesthet Surg J; 2018 Jul; 38(8):913-917. PubMed ID: 29518179
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Qualitative and quantitative evaluation of the use of Twitter as a tool of antimicrobial stewardship.
    Cumbraos-Sánchez MJ; Hermoso R; Iñiguez D; Paño-Pardo JR; Allende Bandres MÁ; Latorre Martinez MP
    Int J Med Inform; 2019 Nov; 131():103955. PubMed ID: 31487575
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks.
    Azcorra A; Chiroque LF; Cuevas R; Fernández Anta A; Laniado H; Lillo RE; Romo J; Sguera C
    Sci Rep; 2018 May; 8(1):6955. PubMed ID: 29725046
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Link prediction on Twitter.
    Martinčić-Ipšić S; Močibob E; Perc M
    PLoS One; 2017; 12(7):e0181079. PubMed ID: 28719651
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantifying collective attention from tweet stream.
    Sasahara K; Hirata Y; Toyoda M; Kitsuregawa M; Aihara K
    PLoS One; 2013; 8(4):e61823. PubMed ID: 23637913
    [TBL] [Abstract][Full Text] [Related]  

  • 13. To Bot or Not? Challenging the Top Social Media Influencers in #PlasticSurgery.
    Fan KL; Economides JM; Song DH
    Plast Reconstr Surg; 2019 Jan; 143(1):337-343. PubMed ID: 30589813
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Analysis of communication in social networks of the influenza vaccine campaign in Spain].
    Cano Garcinuño MI; Arce García S
    Rev Esp Salud Publica; 2020 Mar; 94():. PubMed ID: 32115571
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Collective Behavior of Social Bots Is Encoded in Their Temporal Twitter Activity.
    Duh A; Slak Rupnik M; Korošak D
    Big Data; 2018 Jun; 6(2):113-123. PubMed ID: 29924648
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improved collective influence of finding most influential nodes based on disjoint-set reinsertion.
    Zhu F
    Sci Rep; 2018 Sep; 8(1):14503. PubMed ID: 30266910
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Top 100 Urology Influencers on Twitter: Is Social Media Influence Associated with Academic Impact?
    Corsi N; Nguyen DD; Butaney M; Majdalany SE; Corsi MP; Malchow T; Piontkowski AJ; Trinh QD; Loeb S; Abdollah F
    Eur Urol Focus; 2023 Mar; 9(2):396-402. PubMed ID: 36210295
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diffusing science through social networks: The case of breastfeeding communication on Twitter.
    Moukarzel S; Rehm M; Del Fresno M; Daly AJ
    PLoS One; 2020; 15(8):e0237471. PubMed ID: 32790712
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers.
    Utengen A; Rouholiman D; Gamble JG; Grajales FJ; Pradhan N; Staley AC; Bernstein L; Young SD; Clauson KA; Chu LF
    J Med Internet Res; 2017 Aug; 19(8):e280. PubMed ID: 28818821
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Breastfeeding promotion on Twitter: A social network and content analysis approach.
    Moukarzel S; Rehm M; Daly AJ
    Matern Child Nutr; 2020 Oct; 16(4):e13053. PubMed ID: 32638522
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.