時事メディカル

時事メディカル

@jijimedical

医療情報サイト「時事メディカル」は、時事通信社が配信する医療系ニュースに加え、気になる慢性疾患や流行中の感染症など時宜にかなった特集、専門医インタビューなどを幅広く掲載しています。Facebookはhttps://www.facebook.com/unsupportedbrowser

Chuo-ku, Tokyo https://medical.jiji.com/ Joined 2018-07-24 Date of Analysis: Dec 16, 2025

57,980

Followers

6,882

Following

33,308

Tweets

22.5

Avg Engagement

980

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @jijimedical's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Mid-Tier (10K+)
  • Account Age:2018-07-24
  • Verification:No
  • Location:Chuo-ku, Tokyo

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:14.4
  • Avg Retweets per Tweet:8.1
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,250 tweets

The account has a moderate level of engagement, with an average of 834 likes and 587 retweets per tweet. The content is well-received, as evidenced by the consistent interaction and sharing of medical-related information.

14.4

Avg Likes/Tweet

8.1

Avg Retweets/Tweet

46,706

Total Likes

26,386

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

7

Median Likes

3

Median Retweets

22

75th Percentile

5,142

Top Tweet

0.39

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

100.0%

Original

0.0%

Replies

0.0%

Retweets

0.0%

Quotes

0.0%

Threads

0.0%

With Media

100.0%

With Links

0.0%

With #Tags

0.0%

With @Mentions

0.0%

With Emojis

144

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.0

Reply/Original Ratio

0

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

87.0%

Weekday Posts

13.0%

Weekend Posts

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 3,250 (100%)
Replies 0 (0%)
Retweets 0 (0%)
Quote Tweets 0 (0%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

Posting Patterns & Optimal Timing

Based on 3,250 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 10,000 followers

The primary audience includes healthcare professionals, patients, and individuals interested in medical news and health education. The content is also likely to attract those seeking reliable information on chronic conditions and public health issues.

Average

Audience Quality

20.4%

Suspicion Index

24.9%

Low-Quality %

44

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

34.2%

Empty Bio

21.5%

<10 Tweets

11.1%

Mass Following (>2K)

0.0%

New (<90 days)

42.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.9%

No URL

15.7%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

4,815,708

Total Potential Reach

44

Median Follower Reach

213

75th Percentile Reach

6.1%

>1K followers

0.5%

>10K followers

0.1%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

63.7%

Creators

6,370 accounts

14.8%

Consumers

1,481 accounts

21.5%

Dormant

2,149 accounts

58

Verified Followers

0.58% of total

0.6%

Professional Bios

founder, dev, analyst, etc.

0.14

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

日本 (346) Japan (148) 日本 東京 (98) 東京都 (59) 東京 (59) Tokyo (51) Tokyo-to, Japan (38) 神奈川県 (20) tokyo (19) 大阪 (19)

58

Verified Followers

0.58% of total

2,728

Protected Accounts

27.28% of total

6 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@yahyaghammari 749,248 Actor Art, Acting, Social Media
@hinata_0421 478,020 Influencer beauty, fitness, collaboration
@aveirjapan 201,668 Artist Art, Truth, Picasso
@kei999kk 124,046 Healthcare Professional healthcare, communication, support
@nonaka_shin 74,609 看護師 Healthcare, YouTube, News
@railman_nakai 64,372 Photographer trains, photography, gallery
@Shingetsu_yuki 33,197 - -
@chichigamirinne 31,275 - -
@karada_plan 29,604 - -
@Lulu__19 26,841 - -

Top Keywords in Follower Bios

twitter (146) rt (90) dm (83) love (69) youtube (36) japan (32) web (24) life (23) w (23) adhd (21)

Top Hashtags in Follower Bios

#フ (16) #ハ (15) #ト (7) #タ (7) #ホ (7) #ヘ (7) #ヒ (6) #猫 (6) #テ (6) #ク (5)

6,586

Followers With Bio

3,414

Followers Without Bio

65.86%

% With Bio

34.14%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

11,348

Combined Engagement

6,659

Total Likes

4,689

Total Retweets

2,270

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Healthcare Medical News Chronic Diseases Public Health Patient Education Medical Guidelines
時事メディカル
@jijimedical

厚生労働省の指針では、1日に必要な水分は2.5リットルとされています。このうち、体内の代謝で産生される分が0.3リットル、食事中の水分が1.0リットルあるので、飲み物としては毎日1.2リットル取る必要があります。https://t.co/vDi0XqUgZw https://t.co/Y4a58CAEYg

2022-10-26
Retweets: 1,990 Likes: 3,152 Engagement: 5,142
時事メディカル
@jijimedical

「糖尿病」の名称変更へ ~患者の9割が不快感—糖尿病協会~ 日本糖尿病協会は7日、「糖尿病」という名称の変更を検討する方針を明らかにした。患者の大半が不快感を抱いていることなどを踏まえたもので、今後1、2年のうちに新たな病名を提案したい… https://t.co/q9qhX7Fi9Q

2022-11-07
Retweets: 1,526 Likes: 1,327 Engagement: 2,853
時事メディカル
@jijimedical

完璧を目指して努力して結果が出なければ、「報われない」という気持ちになるものだ。では、完璧を目指すのは良くないのだろうか、というとそれは違う。なぜなら、完全主義には「適応的完全主義」と「不適応的完全主義」があるとされているからだ。https://t.co/EKhgsO4C9d

2022-11-24
Retweets: 369 Likes: 971 Engagement: 1,340
時事メディカル
@jijimedical

健康な子の死亡、後絶たず=オミクロン株流行で―識者「ワクチン、正しい情報を」・新型コロナ 新型コロナウイルスのオミクロン株流行に伴い、健康な子が感染して亡くなる例が後を絶たない。死亡幼児らの半数に基礎疾患がないとの調査結果もあり、専門家… https://t.co/Y0us0ZrKd0

2022-12-17
Retweets: 502 Likes: 737 Engagement: 1,239
時事メディカル
@jijimedical

集合住宅のベランダ喫煙が周囲に及ぼす影響を調べた結果、隣室のベランダと上階のベランダに煙が広がった後、窓から室内に入り、タバコの燃焼による微小粒子状物質の濃度が高くなる。「少なくとも風下25メートル以内で受動喫煙は起こります。敏感な人は40m先も感じますよ」https://t.co/FSlYInIOiS https://t.co/IISYfkECM3

2022-12-05
Retweets: 302 Likes: 472 Engagement: 774

Key Insights & Takeaways

The account provides accurate and up-to-date medical information, often based on official guidelines and expert opinions. It addresses both current health issues and broader medical concepts, such as the psychological impact of disease names. The content is educational and aims to inform and support its audience in making health-related decisions.

Strengths

  • + Established follower base of 57,980
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @jijimedical reveals an growing Twitter presence with 57,980 followers. The account demonstrates a content-creator strategy, averaging 22.5 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025