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ukflag.pngUpdate: The official rankings for August are published! At MedblogEN you can find the most recent list.

Zoals beloofd heb ik de formule die ik gebruik voor de MedblogNL top 25 toegepast op Engelstalige medblogs. Onderstaande lijst is het resultaat na een dag. Pas over een aantal dagen kun je met meer zekerheid zeggen hoe de lijst er precies uit zal zien, maar ik wil jullie het eerste resultaat niet onthouden. Ik heb de medblogs gebruikt die ook vermeld worden bij de Healthcare 100. Dat maakt het mogelijk om de lijsten te vergelijken. Ik zal hier de top 100 laten zien.

Update in English

I got the request to translate the algorithm for determining the rank of medblogs. In table at the bottom of this article you can see how the “value” of a medblog is determined. For the moment I use eight parameters i.e: the number of published articles, the number of comments, the mean Google pagerank of the homepage, the mean Technorati-rank, -inblog and inlink numbers. And finally I use the mean number of subscription to Feedburner (the circulation) and the mean hits of Feedburner.

These parameters lead to the algorithm: value = (# articles / 10) + (# comments / 20) + (pagerank / 2) + (100000 / technorati rank) + ( technorati inlink / 500) + ( technorati inblog / 500) + (feedburner circulation /200) + (feedburner hits /1000). So a medblog gets 1 point for every 10 articles, 1 point for every 20 comments, etc. I chose the numbers (10,20,2,100000, 500,500, 200,1000) in such a way that it becomes a dynamic ranking system (or at least that is what I hope it will become). So I still have to experiment with the parameters numbers but for now I will keep them fixed.

If you have suggestions or improvements please let me know. To construct the list below I used the medblogs from the Healthcare 100. Since I just started to collect the data, the result below are just an indication. I did not plan to construct the English-written-medblog-list on a regular basis, but … if I get a lot I requests to do so, I will consider it.

For the english readers : I also updated the about medblog.nl section.

Update 2
U kunt de OPML van de Healthcare 100 lijst downloaden.
You can download the Healthcare 100 OPML.

Positie (position) Naam (name)
Waarde (value)
1 Healthbolt 49.8675
2 Cato@Liberty (Health Care) 43.7394
3 Bad Science 41.3924
4 Respectful Insolence 40.8232
5 BioHealth Investor 38.6977
6 NHSBlogdoc 28.9993
7 Random Acts of Reality 27.8892
8 Stayin Alive 26.1382
9 HealthCareVox 23.3572
10 KevinMD 22.8563
11 Eye on DNA 18.5879
12 Emergiblog 18.3178
13 Baby Biotechs 18.0187
14 Junkfood Science 17.8895
15 About Pediatrics 17.0201
16 WSJ.com: Health Blog 16.3828
17 davidrothman.net 15.9084
18 The Health Care Blog 15.7412
19 In the Pipeleine 14.5303
20 Running a Hospital 14.2971
21 But you don’t look sick 14.2632
22 Science Roll 14.2364
23 The Healthcare IT Guy 14.1614
24 Random Acts of Reality 13.7722
25 Genetics and Health 13.0496
26 Effect Measure 12.7382
27 blog.bioethics.com 12.6608
28 World of Psychology & Mental Health 12.1265
29 Pharmalot 12.125
30 Six Until Me 11.6508
31 Polite Dissent 11.3542
32 Autism Vox 11.3069
33 shrink rap 11.2506
34 Well Woman Blog 10.8454
35 The Biotech Weblog 10.7804
36 Lively Women 10.7236
37 CFS Squared : Tales of CFS 10.4518
38 Question Authority with Dr. Peter Rost 10.4433
39 medpundit 10.3291
40 Over my med body! 10.3158
41 Cancer Commentary 10.315
42 Straight from the Doc 10.1801
43 Vitabeat 10.1707
44 The Examining Room of Dr. Charles 9.9093
45 InsideSurgery 9.6446
46 Our Bodies Our Blog 9.6419
47 Daily Diabetic 9.624
48 Mark’s Daily Apple 9.5428
49 Medical Health Information Resource 9.5024
50 intueri: to contemplate 9.4418
51 Drugs and Poisons 9.4383
52 Musings of a Dinosaur 9.2853
53 Insure Blog 9.2642
54 Clinical Cases and Images - Blog 9.2306
55 code blog: tales of a nurse 9.0463
56 Allergizer 9.0115
57 DiabetesMine.com 8.9819
58 LIFT 8.9784
59 World Healthcare Blog 8.9715
60 CAMLAW 8.913
61 Alliance for Human Research Protection 8.9106
62 Pharma Marketing Blog 8.872
63 A Hearty Life 8.8372
64 SurgeonsBlog 8.8207
65 Musings of a Distractable Mind 8.787
66 Dr. Melissa Clouthier 8.7769
67 Real Sage Advice 8.7255
68 Centre for Emotional Well-Being 8.7156
69 Doctor Anonymous 8.7005
70 medmusings 8.6547
71 Diabetes Daily 8.5945
72 Celebrity Cosmetic Surgery 8.2847
73 A Day in the Life of An Ambulance Driver 8.1489
74 She Blinded Me with Science! 8.1222
75 Notes from Dr. RW 8.07
76 Dr. Wes 8.0441
77 Your Pharmacist May Hate You 8.034
78 Aggravated DocSurg 8.0282
79 Doctors Gadgets 7.97
80 Diabetes Notes 7.9406
81 Breath Spa for Kids 7.9161
82 eDrugSearch.com Blog 7.9154
83 Scalpel or Sword? 7.862
84 The Cheerful Oncologist 7.8562
85 Universal Health 7.8459
86 The Medical Quack 7.8276
87 Health Affairs Blog 7.7626
88 Women’s Health News 7.6837
89 tales from the emergency room and beyond… 7.6152
90 Ouroboros: Research in the biology of aging 7.5605
91 Blogborygmi 7.5393
92 UBC Google scholar blog 7.5388
93 Medpundit 7.4246
94 ERnursey 7.4199
95 the underwear drawer 7.394
96 madness: tales of an emergency room nurse 7.2633
97 OR-Live: Live and On-Demand Medical Webcasts 7.2508
98 GoozNews 7.1873
99 eHealth 7.1755
100 Urostream 7.1697

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14 Reacties op “Medblogformule toegepast op Engelstalige medblogs”

  1. Berci Meskó zegt:
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    Could you translate please the type of the algorithm? I’m curious. :) Thank you!

    Zou u dit commentaar, indien u dit nog niet gedaan heeft, willen beoordelen?
  2. Jan zegt:
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    @ Berci:
    Thanks for the interest.
    In table at the bottom of this article you can see how the “value” of a medblog is determined. For the moment I use eight parameters i.e: the number of published articles, the number of comments, the mean Google pagerank of the homepage, the mean Technorati-rank, -inblog and inlink numbers. And finally I use the mean number of subscription to Feedburner (the circulation) and the mean hits of Feedburner. The algorithm is: value = (# articles / 10) + (# comments / 20) + (pagerank / 2) + (100000 / technorati rank) + ( technorati inlink / 500) + ( technorati inblog / 500) + (feedburner circulation /200) + (feedburner hits /1000). So a medblog gets 1 point for every 10 articles, 1 point for every 20 comments, etc. I chose the numbers in such a way that it becomes a dynamic ranking system (or at least that is what I hope it will become). So I still have to experiment with the parameters but for now I will keep them fixed. If you have suggestions or improvements please let me know. To construct the list below I used the medblogs from the Healthcare 100. Since I just started to collect the data, the result below are just an indication.

    I also added this text to the original article.

    Zou u dit commentaar, indien u dit nog niet gedaan heeft, willen beoordelen?
  3. Berci Meskó zegt:
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    Thank you for the fast reaction! I think this algorithm is much more accurate and comprehensive than that of the eDrug site. I’m going to write a post about it.

    Zou u dit commentaar, indien u dit nog niet gedaan heeft, willen beoordelen?
  4. Jan zegt:
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    @Berci: Thanks for the compliment. Now you make me curious. Please let me know when you have published your article.

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  5. Daniël zegt:
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    Mooi werk weer Jan! Opvallend veel verschillende invalshoeken binnen de medische blogs. Mooi overzicht.

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  6. MedblogNL lijkt vooralsnog een succes » Medgadget.nl zegt:
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    [...] « Medblogformule toegepast op Engelstalige medblogs 01 08 2007 [...]

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  7. List of the best medical blogs « ScienceRoll zegt:
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    [...] that list, Scienceroll is the 50th blog. Recently, I’ve come across an other list at Medgadget.nl which works with better [...]

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  8. Berci Meskó zegt:
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    Here is the promised article: http://scienceroll.com/2007/08.....cal-blogs/

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  9. Jan zegt:
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    Thanks.

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  10. Eye on DNA Links for 1 August 2007 zegt:
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    [...] listed Eye on DNA at #11 on a ranking of medblogs. It’s always nice to feel [...]

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  11. SSandy zegt:
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    How do you factor in medical/health blogs that do not have comments?

    Zou u dit commentaar, indien u dit nog niet gedaan heeft, willen beoordelen?
  12. Jan zegt:
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    @ SSandy: If you take a look at the algorithm [value = (# articles / 10) + (# comments / 20) + (pagerank / 2) + (100000 / technorati rank) + ( technorati inlink / 500) + ( technorati inblog / 500) + (feedburner circulation /200) + (feedburner hits /1000)] you see that a medblog obtains 1 point for every 20 comments. Thus, if a medblog does not facilitate comments it doesn’t get any points for the comment part.

    In my opinion comments are an important part of the definition of a weblog. That is why I included them in the algorithm. I use the comment rss-feed to obtain information about the number of comments. A big disadvantage is that a lot of website do not add a link to the comment rss-feed in their header. So I have to check the website manually to check whether they have a comment-feed. I am busy checking all the international website on comment-feeds. If someone has a solution for this, please mail me at jan @ medblog.nl.

    I have to admit that I did not add the comment rss-feed to my header yet :-(.

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  13. SSandySandy zegt:
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    Yes, I noticed that blogs without comments are penalized, which is something I disagree with as not all professoinal medical writers can afford to spend full-time moderating comments and thus don’t have them. Many of these blogs are ones that are raising the bar for quality of content, as well. That should not detract from the popularity or ranking of their blog, if that is really what you are trying to determine in your algorithm. Just a thought to consider. Thanks!

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  14. Jan zegt:
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    Thanks for your response.
    Well I partly agree with you. I think that interaction with your readers is a good thing. Even if you are very busy you should have some time to moderate your comments. With respect to the time-consuming activities of medical professionals I found the following interesting comments from David Rothman.

    But … I agree with you that it is unfair to give the comments too many influence. At the end of this month I will be able to determine the influence of the comments on the ranking of a medblog. If this influence is too big I will decrease it by adjusting the numbers in front of the parameters. The same point holds for the articles. If a medblog decides to publish a lot of advertorials it will gain points with “low”-quality content. It will be hard to get rid of these advertorials automatically. The current algorithm puts a lot of emphasis on the Technorati ranking. Again, I will consider this at the end of the month when I will be able to determine the influence of the individual parameters on the overall ranking.

    It is my hope that by using the above defined parameters I will be able to create an overall idea about the quality of a site. Still it is very hard to define the quality of a medblog. Maybe I will add an opinion panel to the ranking, but I do not have the right infrastructure yet.

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