NadiaKamil - Tweet Data Analysis
Tweets Analysis - Keyword: @NadiaKamil
Published April 9, 2023
Overview
Tweets covering
8 days
Latest tweet was on
2023-03-29
Earliest tweet was on
2023-03-20
Total number of tweets analysed
143
Average age of authors' accounts
11 years
Summarization
The tweets cover a range of topics related to medical care, including the importance of routine blood tests and timely follow-up, the responsibility of labs to flag abnormal results, the need for communication and feedback among medical teams, and the value of professional services. There is also reference to a humorous story about washing up and a discussion about legal liability for routine test results.
Topic Modeling
- Medical tests and results
- The role and responsibility of doctors in patient care
- Issues with hospital systems and procedures
- Sponsorship and fundraising for a podcast network
- Humorous anecdotes and stories in a medical setting
Emotional Analysis
The emotions expressed in these tweets are mainly related to medical and healthcare-related concerns. The tweets express opinions and debates regarding patient care, lab testing, and the responsibilities of doctors in hospitals. There is a sense of frustration and disagreement among the Twitter users, who are largely medical professionals, regarding the best practices for patient care and the allocation of responsibilities within healthcare systems. There are hints of anger and irritation, but overall the tone is professional and focused on finding effective solutions for improving patient outcomes.
Trend Analysis
- MaxFunDrive and sponsor thanks
- Discussion on British policy position and American experience
- Debate on urgency of chasing abnormal blood test results
- Responsibility for routine blood tests and patient safety
- Humorous and alarming anecdotes shared
Disclaimer: The text analysis on twtdata.com, powered by OpenAI, does not represent the views of twtdata.com or its affiliates. The analysis is for informational purposes only and not an endorsement of any viewpoint.
Types of Tweets
Number of Retweets
4
2% of total
Number of Original tweets
1
0% of total
Number of tweets that were Quotes
0
0% of total
Number of tweets that were Replies
138
96% of total
Number of tweets that contain Hashtags
2
1% of total
Number of tweets that contain Mentions
143
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 59 |
| Twitter for Android | 42 |
| Twitter for iPhone | 39 |
| TweetDeck | 2 |
| Twitter for iPad | 1 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| Herring1967 | Richard K Herring | Fecret Ftone Clearer. Self-playing Snookerist. Publicist for International Men's Day. Uniball. https://t.co/LcX117mTYm. | 287,304 |
| mattgreencomedy | Matt Green | Comedian, etc. Buy me a coffee? https://t.co/tl2jcxx8Mc ๐ I'm not wearing blusher thatโs just my face Mailing list: https://t.co/dzkF2FROlS | 83,935 |
| LadyDoctorSays | Flying Lady Doctor Says | ุชููู ุงูุทุจูุจุฉ | ๐ฎ๐ถ | Aviatrix. Ducatista. Photog. Emergency Doctor. More citizenships than you. Don't touch my hair or ask me where I'm *really* from. https://t.co/zG3Syj1ECQ | 27,757 |
| NadiaKamil | Nadia Kamil | I used to do jokes for money but now I'm some kind of national hero. Welsh. Iraqi. Weakly positively birefringent she/her/they/dr https://t.co/vscOX2et1s | 22,049 |
| noodles_nood | Noodles | She/they. Doctor - professional "sorry for the wait" apologiser. V queer ๐ โ๐ณ๏ธโโง๏ธ ๐งdrnoodles121@gmail.com | 18,672 |
| beefanddairy | Beef & Dairy Network | Winner: Best Comedy at British Podcast Awards 2017 & 2018. For those involved or interested in the production of beef animals & dairy herds. By @benpartridge. | 14,274 |
| timricketts_ | Tim Ricketts | โExtremistโ significantly junior Doctor. Waging a one man war against the NHS white plastic apron. ๐ด๐ปโโ๏ธ๐โท๐๐ปโโ๏ธ | 11,822 |
| rosieICM | Dr Rosie Baruah | A she/her ICU consultant. Sceptical and disappointed Asian female #PoCUS #QualitativeResearch #neuroICU Seeker of a fair field and no favour. #ActuallyAutistic | 11,404 |
| DrSeanMon | Sean Monaghan | #paedsrocks/PEM consultant @StaffsChildrens. Adolescenty. Safety-II stan. Into teaching and social determinants of health. Northern. Views my own. He/him. | 7,201 |
| techpriest | Techpriest | Millennial cliche with strong retired museum curator energy. Medic. North of the wall ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ Lives for the memes. *Mass transit enthusiast* | 7,106 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| LadyDoctorSays | Flying Lady Doctor Says | ุชููู ุงูุทุจูุจุฉ | ๐ฎ๐ถ | Aviatrix. Ducatista. Photog. Emergency Doctor. More citizenships than you. Don't touch my hair or ask me where I'm *really* from. https://t.co/zG3Syj1ECQ | 8,738 |
| beefanddairy | Beef & Dairy Network | Winner: Best Comedy at British Podcast Awards 2017 & 2018. For those involved or interested in the production of beef animals & dairy herds. By @benpartridge. | 8,144 |
| Peter_Onn | Peter Onn | Standing, looking at the world and wondering ... why! | 4,904 |
| grainneisbusy | Grรกinne | Grawn-ya not Grainy ๐ฎ๐ช in ๐ฌ๐ง (via a few years in ๐จ๐ฆ) @grainne@mstdn.social Rarely look at DMs | 4,802 |
| DrSeanMon | Sean Monaghan | #paedsrocks/PEM consultant @StaffsChildrens. Adolescenty. Safety-II stan. Into teaching and social determinants of health. Northern. Views my own. He/him. | 4,146 |
| logmein22 | qwert | annoying login forced account qwert! Don't join a bi-directional communications platform if you can't handle dialogue and discourse. I enjoy testing my ideas. | 4,112 |
| CwtchyHobbes | blah blah blah | Mostly this universe @Cwtchyhobbes@mastodon.social Cwtchyhobbes@TribelSocial | 3,854 |
| jaimoe0 | James Welton ๐บ๐ฆ | I was born in a cross-fire hurricane, which I can tell you is no picnic. | 3,561 |
| techpriest | Techpriest | Millennial cliche with strong retired museum curator energy. Medic. North of the wall ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ Lives for the memes. *Mass transit enthusiast* | 2,567 |
| ChrisA | Chris Adams | ๐ Out For Blood: A Cultural History of Carrie the Musical - out July '23 (link below) | 2,467 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| jabberwock951 | Socialist doctor dad. He/him. | 22 |
| DoctorDemetris | NHS doctor (ST3 in paeds), lifelong LFC fan, views my own, He/Him | 17 |
| sh_abbers | Geriatrics Dr - working out new normal with long covid. | 11 |
| AlexJelloo | A thinking, feeling human - just like you. Doctor. Psychiatry CT1. British-Iraqi. #INTP. #LH44. Tweets mostly about Formula 1 these days. | 8 |
| timricketts_ | โExtremistโ significantly junior Doctor. Waging a one man war against the NHS white plastic apron. ๐ด๐ปโโ๏ธ๐โท๐๐ปโโ๏ธ | 4 |
| dobbyjog | A quadrupedal Glaswegian spoonerism maintaining my dadโs pawsible deniability. | 3 |
| defnatlynotneil | Public health registrar in the West Midlands, clinical research fellow at the University of Birmingham | 2 |
| h2osarah | Glamorous near some bins | 2 |
| hywel1979 | Drummer / musician | 2 |
| Th0rNogson | Move along, nothing interesting to see here. (he/him/they, draw the line at 'it'). | 2 |
Tweets Per Day
Top 10 Tweets by Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1640303678677565442 | It's week 2 of the @maxfunhq #maxfundrive and we'd just like to thank our sponsor, David Ronco's Meat In The Woods. (thanks to @nadiakamil / Mrs Ronco) https://t.co/hwjIMyvvrx | 29 |
| 1641112581690589185 | @NadiaKamil They're on here as EmmaSleepTech if you're still having problems. | 0 |
| 1639206415884775424 | @timricketts_ @NadiaKamil The worst is when they're all taken at 10am but there's a lab issue with U&Es so the whole hospital doesn't get them back til 7pm... And if โฆ | 0 |
| 1639203526432677889 | @jabberwock951 @NadiaKamil @AlexJelloo Oh come on, obviously there is a middle ground between "so high risk they need a VBG" & "so low risk it can wait until morning". I've โฆ | 0 |
| 1639199931134091264 | @Neuro_Matt @NadiaKamil Dude have you *watched* the privileges committee hearings? ๐ | 0 |
| 1639196477800030209 | @DoctorDemetris @NadiaKamil @AlexJelloo Trust me if it weren't for electronic handover allowing people to dump jobs on the on-call doctor with no communication this wouldn't fly. Any senior present at โฆ | 0 |
| 1639196159498502146 | @DoctorDemetris @NadiaKamil @AlexJelloo If you're telling me the bloods may show high potassium, and handing them over on that basis, I'm asking why you didn't send them to the lab โฆ | 0 |
| 1639170133724626944 | @NadiaKamil @jabberwock951 @AlexJelloo The clinical judgment is that electrolyte disturbances can cause cardiac arrest. DOI: My F2 hosp had a cautionary tale about a hyperkalemia not being treated in time, โฆ | 0 |
| 1639167199934922752 | @NadiaKamil @jabberwock951 @AlexJelloo I've already acknowledged that many tests don't need to be chased & shouldn't be handed over, but most "routine" bloods unfortunately do. Because, for example, they include โฆ | 0 |
| 1639167010717286400 | @NadiaKamil @jabberwock951 @AlexJelloo We're going round in circles now. As I've said many times in this thread, U&Es for inpatients should always be reviewed with some urgency, because they might โฆ | 0 |
Top 10 Tweets by Likes
| ID | Text | Like count |
|---|---|---|
| 1640303678677565442 | It's week 2 of the @maxfunhq #maxfundrive and we'd just like to thank our sponsor, David Ronco's Meat In The Woods. (thanks to @nadiakamil / Mrs Ronco) https://t.co/hwjIMyvvrx | 198 |
| 1637949155212509184 | @NadiaKamil This was the received wisdom in Britain for decades but America experience now increasingly proves otherwise. The British policy position is a castle built on sand https://t.co/SfULGqN79u | 9 |
| 1639011251979272196 | @NadiaKamil I get why people are paranoid about missing an unexpected result, but how do they think outpatient blood tests work? If you really aren't expecting it to be abnormal โฆ | 4 |
| 1639265737775644672 | @NadiaKamil most expensive one you can afford | 4 |
| 1639211008756527106 | @sh_abbers @jabberwock951 @AlexJelloo @DoctorDemetris @NadiaKamil Then that's the lab that's the issue... But as always it'll be the junior doctor that takes the flack and that shouldn't be the case. โฆ | 4 |
| 1639016835982168064 | @jabberwock951 @AlexJelloo @NadiaKamil This isn't GP land, it's a different standard of care for a higher risk group of patients. Would we be protected medico-legally for not chasing if e.g. โฆ | 4 |
| 1639209447686799360 | @sh_abbers @NadiaKamil The problem is I don't think handing over masses of routine stuff to the on-call is any safer. It's not reducing either patient or medico-legal risk, it's passing โฆ | 4 |
| 1639032310250053633 | @jabberwock951 @AlexJelloo @NadiaKamil I agree it's not practical at times & can even be overwhelming, but that should be fed back to the parent team (incl. at handover like you โฆ | 3 |
| 1640090639130849281 | @NadiaKamil Yes it would be. Unlike painting and wallpapering, there are some things that professionals always do infinitely better. For example plastering/skimming and carpet fitting. Do the locum time, to โฆ | 3 |
| 1639196477800030209 | @DoctorDemetris @NadiaKamil @AlexJelloo Trust me if it weren't for electronic handover allowing people to dump jobs on the on-call doctor with no communication this wouldn't fly. Any senior present at โฆ | 3 |
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #maxfundrive | 2 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @nadiakamil | 143 |
| @jabberwock951 | 33 |
| @alexjelloo | 33 |
| @doctordemetris | 26 |
| @sh_abbers | 9 |
| @maxfunhq | 8 |
| @beefanddairy | 7 |
| @techpriest | 4 |
| @timricketts_ | 3 |
| @mattgreencomedy | 2 |
Wordcloud of Tweets
Emoji Analysis
Average emojis per tweet:
9
Emojis Used
| Emoji | Count | Emoji Text |
|---|---|---|
| ๐ | 2 | grinning_face_with_smiling_eyes |
| ๐ | 1 | beaming_face_with_smiling_eyes |
| ๐ค | 1 | thinking_face |
| โ๏ธ | 1 | victory_hand |
| ๐ | 1 | smiling_face_with_smiling_eyes |
| ๐ | 1 | face_with_tears_of_joy |
| ๐ | 1 | grinning_face_with_sweat |
| โบ๏ธ | 1 | smiling_face |
| ๐คท๐ปโโ๏ธ | 1 | man_shrugging_light_skin_tone |
| ๐ | 1 | eyes |
Emoji Groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 11 |
| People & Body | 3 |
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