Publishes | Weekly | Episodes | 169 | Founded | 5 years ago |
---|---|---|---|---|---|
Language | Japanese | Number of Listeners | Categories | Health & FitnessMedicine |
国が主導する「全国医療情報プラットフォーム」における薬剤師の役割 お話は 九州大学大学院 医学研究院 医療情報学講座 教授 中島直樹さんです
厚生労働省アワー 希少疾病用医薬品指定制度と小児用医薬品の開発促進のあり方に関する最新の動向について お話は 厚生労働省 医薬局 医薬品審査管理課 渡部祐樹さんです
地域連携・チーム医療における薬剤師への期待―総合診療医の立場から―と題して お話は 北海道家庭医療学センター 常務理事で、栄町ファミリークリニック 院長の中川貴史さんです
最近の副作用情報から 医薬品・医療機器等安全性情報 No.407 について お話は 厚生労働省 医薬局 医薬安全対策課 安藤駿佑さんです
一般住民バイオバンクを活用したファーマコゲノミクス研究と個別化薬物療法への応用について お話は 東北大学大学院 薬学研究科 准教授 平塚真弘さんです。 ※2023年3月2日の再放送
Find out how many people listen to 薬学の時間 and see how many downloads it gets.
We scanned the web and collated all of the information that we could find in our comprehensive podcast database.
Listen to the audio and view podcast download numbers, contact information, listener demographics and more to help you make better decisions about which podcasts to sponsor or be a guest on.
Apple Podcasts | #56 | China/Health & Fitness/Medicine |
Apple Podcasts | #56 | Japan/Health & Fitness/Medicine |
Apple Podcasts | #207 | Japan/Health & Fitness |
Listeners, engagement and demographics and more for this podcast.
Listeners per Episode | Gender Skew | Engagement Score | |||
---|---|---|---|---|---|
Primary Location | Social Media Reach |
Rephonic provides a wide range of data for three million podcasts so you can understand how popular each one is. See how many people listen to 薬学の時間 and access YouTube viewership numbers, download stats, chart rankings, ratings and more.
Simply upgrade your account and use these figures to decide if the show is worth pitching as a guest or sponsor.
There are two ways to find viewership numbers for podcasts on YouTube. First, you can search for the show on the channel and if it has an account, scroll through the videos to see how many views it gets per episode.
Rephonic also pulls the total number of views for each podcast we find a YouTube account for. You can access these figures by upgrading your account and looking at a show's social media section.
Podcast streaming numbers or 'plays' are notoriously tricky to find. Fortunately, Rephonic provides estimated listener figures for 薬学の時間 and three million other podcasts in our database.
To check these stats and get a feel for the show's audience size, you'll need to upgrade your account.
To see how many followers or subscribers 薬学の時間 has, simply upgrade your account. You'll find a whole host of extra information to help you decide whether appearing as a sponsor or guest on this podcast is right for you or your business.
If it's not, use the search tool to find other podcasts with subscriber numbers that match what you're looking for.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. You can see some of this data for free. But you will need to upgrade your account to access premium data.
薬学の時間 launched 5 years ago and published 169 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contact information for you.
Our systems scan a variety of public sources including the podcast's official website, RSS feed, and email databases to provide you with a trustworthy source of podcast contact information. We also have our own research team on-hand to manually find email addresses if you can't find exactly what you're looking for.
Rephonic pulls reviews for 薬学の時間 from multiple sources, including Apple Podcasts, Castbox, Podcast Addict and more.
View all the reviews in one place instead of visiting each platform individually and use this information to decide whether this podcast is worth pitching as a guest or sponsor.
You can view podcasts similar to 薬学の時間 by exploring Rephonic's 3D interactive graph. This tool uses the data displayed on the 'Listeners Also Subscribed To' section of Apple Podcasts to visualise connections between shows.