New Healthcare Analytics Features for Social Media

New Healthcare Analytics Features for Social Media

A popular feature on the Healthcare Hashtag Project is the customizable healthcare analytics page. You select a time period, we give you analytics with participation metrics, influencer metrics, and some beautiful graphs. We’ve mostly seen it being used for healthcare tweet chats and healthcare conferences. It’s just a simple way to quickly see what an impact an event had, and who was involved. Great for use in proposals and reports. We’re now adding some new features to this analytics page.

To get to the analytics page, go first to your favorite hashtag. Then click the “Get Analytics” button. Example.

 

Healthcare Analytics: Tweet Reach or Impressions

People love metrics and the best use of metrics is to compare them to past periods or other competing/comparable metrics. For a certain time period, let’s say a healthcare tweet chat, we have in the past provided metrics for how many tweets were produced and how many people were involved. We’re now taking it one step further with a metric for how far and wide your messages have reached. Total Impressions.

How is the Impression Metric Computed?

“Impressions” is a metric for how many impressions a healthcare hashtag has made in users’ tweet streams. Symplur computes total impressions by taking the number of tweets per participant and multiplying it with the number of followers that participant currently has. This is done for all participants in this time period and then finally the numbers are added up.

 

Top 10 Influencers by Impressions

Impressions, as you can see, is a metric that can quickly become a very large number. An individual with a very large following can have a large impact on this metric with just a few tweets. But that is also the point of this metric – another way to slice the data. We’ve created a top 10 list of the individuals who created the most impressions. From our testing, this list will vary greatly from the two other top 10 lists we have (top mentions, and top tweets), in other words, it will give you another way to look at the data.

 

Tweet Activity Graph for any Time Period

We’ve also added another graph on the healthcare analytics page. Tweet volume across the whole period. And since you can decide where the period will start and stop, this graph can show data for a week, 24 hours, 1 hour etc. It will measure 10 time points in your periods on the x-axis and will default to your local time zone.

 

Custom Healthcare Analytics – More Ways to Slice the Data

Creating publicly available tools for displaying the data in our database is really fun and rewarding. But there is only so much one can do with tools that need to be generic. The really interesting answers are found when one digs deep into the data with custom problem solving tools and algorithms. That’s where the true potential for valuable  healthcare analytics lies. So if you have research or marketing questions you want answers to, let us know. We literally have millions of healthcare tweets with thousands of different variables in this huge relational database.

 

All the Participants

Still on the analytics page is the beautiful collage of profile images of all the participants. Great for slides!

Thanks for all your support, especially to the organizations and individuals who contribute to this project. We will keep on moving forward with new features.

About the Author

Audun Utengen, MBA – @audvinJob to be done: Connect the dots in Healthcare Social Media with Data, Analytics, People. I'm a simplifier at @symplur. +

Leave a Comment


  1. @shwen
    Shwen Gwee – @shwenJune 27th, 2012

    Cool! RT @colleen_young: .@symplur unveils new analytics features for healthcare social media http://t.co/ToaEbl18 #SXSH

  2. @shwen
    Shwen Gwee – @shwenJune 27th, 2012

    Cool! RT @colleen_young: .@symplur unveils new analytics features for healthcare social media http://t.co/NSvtTMgl #SXSH

  3. @andrewspong
    Andrew Spong – @andrewspongJune 27th, 2012

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  4. @dinchin1
    Dinesh Chindarkar – @dinchin1June 27th, 2012

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  5. @digmedcom
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  9. @hilsf1970
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  10. @aeseg_genericos
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  11. @tmlfox
    Thomas M. Lee – @tmlfoxJune 27th, 2012

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  12. @hockings
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  13. @symplur
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  15. @hill_dixon
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  19. @digmedcom
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  20. @maureenwilkins7
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  21. @camediate
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  22. @nannettesc
    Net Stangle-Castor – @nannettescJune 27th, 2012

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  23. @ctffox
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  25. @gohealthcare
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  26. @audvin
    Audun Utengen – @audvinJune 27th, 2012

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  27. @pharmaphorum
    Paul Tunnah – @pharmaphorumJune 27th, 2012

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  28. @hjluks
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  29. @hippocampico
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  30. @hjluks
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  31. @jptingle
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  32. @nswa
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  34. @audvin
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  35. @wissit
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  36. @ctffox
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  37. @medpedsdoctor
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  41. @blogbrevity
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  42. @ideagoras
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  43. @audvin
    Audun Utengen – @audvinJune 29th, 2012

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  44. @hjluks
    Howard Luks – @hjluksJune 30th, 2012

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  45. @johnnosta
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  46. @johnnosta
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  47. @tmlfox
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  48. @johnnosta
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  49. @johnnosta
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  50. @digmedcom
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  51. @analyticsdennis
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  52. @fusedat
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  53. @camiloerazol
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  54. @spinnakr
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  55. @felipemejiamedi
    FelipeMejiaMedina – @felipemejiamediJuly 2nd, 2012

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  56. @foxggf
    Gunter Dymkova-Fuchs – @foxggfJuly 2nd, 2012

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  57. @jamaytay
    Jennifer T. – @jamaytayJuly 3rd, 2012

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  58. @foundationrad
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  59. @fradiex
    Paco Diaz – @fradiexJuly 9th, 2012

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  60. @redsalud_and
    Red Salud Andalucía – @redsalud_andJuly 9th, 2012

    Interesante análisis sobre twitter en el mundo, en el sector salud http://t.co/8RSg1f7E

  61. @jotalrubio
    José Luis Rubio – @jotalrubioJuly 9th, 2012

    Interesante análisis sobre twitter en el mundo, en el sector salud http://t.co/8RSg1f7E

  62. @gcvensalud
    Curso GCV en Salud – @gcvensaludJuly 9th, 2012

    Interesante análisis sobre twitter en el mundo, en el sector salud http://t.co/8RSg1f7E

  63. @
    New Healthcare Analytics Features for Social Media | Progress in Mobile Health | Scoop.it – @July 14th, 2012

    [...] New features for Healthcare Analytics for Social Media. A metric for how many impressions a healthcare hashtag has made in tweet streams.  [...]

  64. @com
    Social Media Analytics for Healthcare – @comJuly 16th, 2012

    [...] first steps into the realm of analytics.Update:  Take a look at the New Features for Social Media Healthcare AnalyticsWhat is Social Media Analytics for Healthcare?There are so many questions we can answer with all the [...]

  65. @aeseg_genericos
    aeseg_genericos – @aeseg_genericosJuly 17th, 2012

    New Healthcare Analytics Features for Social Media http://t.co/g6xe569j vía @symplur

  66. @committedgroup
    Committed Network – @committedgroupJuly 18th, 2012

    #NHS was a late entry to the social media arena, now it seems they can't get enough! Good stuff >> http://t.co/mcJisLKk via @symplur

  67. @committedgroup
    Committed Network – @committedgroupJuly 18th, 2012

    #NHS was a late entry to the social media arena, now it seems they can't get enough! Good stuff >> http://t.co/mcJisLKk via @symplur

  68. @audvin
    Audun Utengen – @audvinAugust 30th, 2012

    @colleen_young Here’s how impressions are calculated: http://t.co/KAAlcZup 3rd paragraph

  69. @colleen_young
    Colleen Young – @colleen_youngAugust 30th, 2012

    thx RT @audvin: @colleen_young Here’s how impressions are calculated: http://t.co/87Qvm29v 3rd paragraph

  70. @jedi_roach
    Clive Roach – @jedi_roachNovember 19th, 2012

    New Healthcare Analytics Features for Social Media http://t.co/eEoMNMAi

  71. @noelbenitez
    Noël Benítez – @noelbenitezNovember 20th, 2012

    New Healthcare Analytics Features for Social Media http://t.co/Z8xH0Nsl via @symplur

  72. @dutchbirdman
    Job Vogel – @dutchbirdmanNovember 20th, 2012

    New Healthcare Analytics Features for Social Media http://t.co/VyC8H8Cf via @symplur

  73. @2012
    #bePNDaware: Looking Back at Postnatal Depression Awareness Week through a Social Media Lens | meta4RN – @2012November 25th, 2012

    [...] @Mamamia, with its very large Twitter following, had the greatest amount of “Tweet Reach” of all those who used the #bePNDaware hashtag . In fact, Mammia accounted for nearly half of the #bePNDaware impressions as calculated by Symplur (explanatory note here). [...]

  74. @jedi_roach
    Clive Roach – @jedi_roachDecember 1st, 2012

    New Healthcare Analytics Features for Social Media http://t.co/eEoMNMAi

  75. @foxggf
    Gunter Dymkova-Fuchs – @foxggfDecember 9th, 2012

    Great stuff! – Healthcare Analytics Features for Social Media #hcsm #doctor http://t.co/2GedDuP4

  76. @mtmdphd
    Mike Thompson, MDPhD – @mtmdphdDecember 11th, 2012

    New Healthcare Analytics Features for Social Media (eg, "impressions") via @Symplur http://t.co/hoNqPWKX

  77. @drurydhc
    Digital Health Com – @drurydhcDecember 11th, 2012

    New Healthcare Analytics Features for Social Media (eg, "impressions") via @Symplur http://t.co/hoNqPWKX

  78. @jedi_roach
    Clive Roach – @jedi_roachDecember 19th, 2012

    New Healthcare Analytics Features for Social Media http://t.co/eEoMNMAi

  79. @frederique1
    Frederique Nagtegaal – @frederique1December 19th, 2012

    New Healthcare Analytics Features for Social Media http://t.co/eEoMNMAi

  80. @practicalwisdom
    Lisa Fields – @practicalwisdomDecember 30th, 2012

    Benefit LIVE Tweeting 4 Conference see U R Analytics. # of People U reached http://t.co/kOMe5QUZ @RichDuszak @mtmdphd @fischmd cc: @symplur