ساجد متعب العبدلي engagement report
@DrSajed - 187K followers on X
Measured over 23 original posts from a 30-day window, last computed on October 13, 2026.
Engagement
A typical post picks up 18 interactions against 187K followers, an engagement rate of 0.01%. Measured over 23 original posts, its engagement rate beats 23% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.2K times each, and 0.429% of those impressions turn into an interaction. That is about 2.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 91% carry an image or video and 74% link out. The account's strongest tracked post pulled 1.4K interactions, about 78x its own typical post. Recurring topics include #التظلّم, #الحوكمة, #الكلمة_الطيبة.
Measured over 23 original posts from a 30-day window, last computed on October 13, 2026. Recurring tags: #التظلّم, #الحوكمة, #الكلمة_الطيبة.
Compared with accounts its own size
ساجد متعب العبدلي's engagement rate beats 23% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 23% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.01%, ساجد متعب العبدلي sits above the 10th percentile of the 212,925 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 83.0% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 15:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 91% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 74% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 91% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 74% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 250 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 23, 202678x their median
I'm finishing a paper I wrote with my colleagues. I used LLM to help with the abstract, and to improve a few sentences (maybe 5-10 sentences in a 73 pages long paper) in order to increase readability. Pangram says the paper is 63% AI, and this is total BS. I have checked a poem written by Victor Hugo, and it flags as 100% AI! Serious question: what will happen if people/journals/entities start to use these AI detection tools to evaluate our work? Will people be wrongly accused of using AI to their papers? This needs an urgent discussion among academics!
- Feb 3, 20265.6x their median
سؤال لمن رشح أسامة بودي و لمن قبله لتولي وزارة التجارة .. 📌هل اطلعتم علي ميزانية و أرقام شركة المواشي التي كان يديرها 12 سنة حتى تركها في شهر 7/2024؟ 📌هل رصدتم حجم الخسائر المتراكمة ؟ 📌هل تعلمون أن شركة المواشي هي أكبر مستورد للحوم و مع هذا تخسر ؟ بالمقابل هل تعلمون أن وزارة التجارة تحتوي على 📍هيئة أسواق المال 📍هيئة الصناعة 📍قطاع التأمين 📍قطاع العقار 📍حماية المستهلك 📍تأسيس الشركات الملاحظ أنكم بايعين الوزارة …
- Oct 1, 20267.6x their median
أيّ حكاية تبدأ بـ«ظل المعذّب»… ثم تقودك إلى «مخلب المصلح»؟ صدر حديثًا عن دار شفق المجلدان الأول والثاني من سلسلة «كتاب الشمس الجديدة» للكاتب جين وولف، بترجمتي نوره العنزي. «ظل المعذّب» — المجلد الأول. «مخلب المصلح» — المجلد الثاني. اقتَنِ نسختيك من متجر دار شفق عبر الرابط في النبذة. https://t.co/mseuC5cFeY @darshafaqbooks #دار_شفق #جين_وولف #كتاب_الشمس_الجديدة #ظل_المعذب #مخلب_المصلح #روايات_مترجمة
- Feb 28, 20266.1x their median
لوذوا بالله...
- Sep 9, 20265.8x their median
نموذح Chatgpt 6 Astra نموذج خارق. أنصح بتعلم استخدامه إلى أقصى حد ممكن، كل في مجاله، وسيكون نقلة نوعية في الإنجاز لا تخطر على بال!
- Oct 1, 20265.3x their median
«واليوم أعلن، بكامل قواي العقلية وبما تبقّى من قواي الإدارية، استقلالي عن ساعة الدوام.» «والساعة الآن لي»؛ مقال جديد عن التقاعد بعد أكثر من ثلاثين عامًا من العمل، ووداع المكتب وبداية رحلة أخرى. لقراءة المقال: https://t.co/G5Grne1vWc https://t.co/PFet0heSUS
- Sep 12, 20265.2x their median
صدر ولله الحمد كتاب (بحثا عن رجل القش). موجود حاليا في متجر دار شفق، وقريبا يصل لبقية منافذ التوزيع. https://t.co/RP2EciEC9K
- Jul 3, 20264.4x their median
ظل المعذّب (Shadow Of The Torturer) يُعتبر واحد من افضل روايات الفانتازيا بالتاريخ لكن بين سطورها تلاقي تلميحات عن عالم خيال علمي منسي. قصة على السطح تتكلم عن شاب من نقابة توقع التعذّيب على اعداء الاوتارك (الحاكم) لكن الشاب هذا، الراوي، غير موثوق فيه ابداً لجهله بالاحداث بحالات وتلاعبه فيها بأُخرى. وبالتالي احنا امام احجية عمرها 45 سنة تتكلم عن عالم بالمستقبل البعيد جداً شمسه على وشك الانطفاء على ناس فقدوا جزء كبير من اللي نعرفه عن الانسان. الفيديو مدته حول الساعتين، ثلاث ارباعه عبارة محادثتي مع جيمس وكريق من بودكاست ReReading Wolfe للاجابة على ما يمكن الاجابة عليه وتوقع مايمكن توقعه. استمتعوا https://t.co/jLAQCeAxEZ
- Nov 25, 20254.2x their median
ظلّ الجلّاد || The Shadow of The Torturer ✅ للكاتب جين وولف 4/5⭐️ حقوق الترجمة عند دار شفق @darshafaqbooks «سأتوقف هنا. فإن رغبتَ، أيها القارئ، ألّا تسير معي خطوة أخرى، فلا ألومك. فالطريق ليس بهيّن.» في المستقبل البعيد، المستقبل المتآكل. تحتضر فيه الأرض. والشمس هرِمة، واهنة… المجلد الأول في سلسلةٍ من أربعة مجلدات تُسمى “كتاب الشمس الجديدة”. والمجلد يحكي قصة سيڤيريان، الشاب المتدرّب في نقابة الجلّادين في عالم يدعى أورث، والذي نُفي بعدما ارتكب الخطيئة العظمى في مهنته: إظهار الرحمة تجاه ضحيته. ويتتبع الكتاب رحلته اللاحقة خارج مدينته نِسّوس. قد لا يكون من العدل تقييم كل جزء على حدة، ومع ذلك… ها نحن ذا. 🤷♂️ #مراجعة معرفتي بأننا نتعامل مع راوٍ غير موثوق جعلت التجربة أكثر إثارة: فكل شيء يبدو واضحًا على السطح، لكن تحته طبقة ثانية، وربما ثالثة، من الحقيقة. ففي لحظات كثيرة، لا أستطيع تصديق أن سيڤيريان —المعذِّب— يستطيع كتابة هذه النصوص لأن الأسلوب أعمق من أن يصدر عن شخصيته الظاهرية، وأثقل من تكوينه الفكري كما يصف نفسه. وهنا يبدأ جمال الكتاب: الشك. الشك جعل قراءتي أمتع؛ فطوال الوقت أحاول اصطياد ما يختبئ بين السطور من تلميح، مبالغة، سهو، إضافة، تناقضات، أو حتى سوء تقدير في قراءة الموقف من منظور سيڤيريان. أعجبني المزج بين التصنيفين؛ الفانتازيا والخيال العلمي. فروح العمل تبدو فانتازيّة، ولكن بالأصل، هو عمل خيال علمي ديستوبي نوعا ما، ويندرج تحت تصنيف الـ dying earth. حرق 👇
- Oct 7, 20263.4x their median
نبل المقصد لا يبرر سوء التنفيذ يا وزارة التربية
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 18 interactions against 187K followers, an engagement rate of 0.01%. Measured over 23 original posts, its engagement rate beats 23% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.2K times each, and 0.429% of those impressions turn into an interaction. That is about 2.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 91% carry an image or video and 74% link out. The account's strongest tracked post pulled 1.4K interactions, about 78x its own typical post. Recurring topics include #التظلّم, #الحوكمة, #الكلمة_الطيبة.
- What is ساجد متعب العبدلي's engagement rate on X?
- ساجد متعب العبدلي (@DrSajed) has an engagement rate of 0.01%, based on the median interactions across 23 original posts from the last 30 days against 186,748 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.01%, ساجد متعب العبدلي sits above the 10th percentile of the 212,925 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @DrSajed have real engagement?
- Its engagement rate beats 23% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @DrSajed post?
- Most posts go out around 15:00 UTC, and Wednesday is its busiest day, at roughly 2.37 posts per day across the measured window.