Tweets Analysis - Keyword: @firefoxx66
Overview
Total number of tweets analysed
108
Earliest tweet was on
2023-02-18
Latest tweet was on
2023-02-27
Tweets covering
8 days
Average age of authors' accounts
8 years
Types of Tweets
Number of Retweets
21
Percentage of total tweets
19%
Number of Original tweets
4
Percentage of total tweets
3%
Number of tweets that contain Mentions
108
Percentage of total tweets
100%
Number of tweets that were Replies
83
Percentage of total tweets
76%
Number of tweets that were Quotes
5
Percentage of total tweets
4%
Number of tweets that contain Hashtags
20
Percentage of total tweets
18%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter for Android | 36 |
| Twitter for iPhone | 35 |
| Twitter Web App | 32 |
| Twitter for iPad | 4 |
| SNAP101 | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| AmericanAir | americanair | Official Twitter for the world’s largest airline. We’re here for you 24/7. For more about us or a formal response, visit https://t.co/uI8dLIDCud. | 1,654,419 |
| MarionKoopmans | Marion Koopmans, virology; emerging infections | https://t.co/x3zIbMPDg5 Head of Viroscience Department , WHO collaborating centre EID | 84,791 |
| Bodenclothing | Boden | Eclectic, British style. | 49,323 |
| meNabster | theNabster #Doom #Gloom 🔥☠️ | I nab the guilty who lurk in darkness of inequity & injustice.Sister account to @inabster in case @Twitter bans it.Favours Principled Constitutional Monarchy. | 29,849 |
| _b_meyer | Björn Meyer | Virologist ☣ @MeyerLab_Viro | Trying to understand why viruses tick the way they do - then, now and in future | 🇩🇪🇪🇺🇺🇳 | https://t.co/KRl7PN9ssr | 21,095 |
| benryanwriter | Benjamin Ryan | 🔬Health & science reporter: COVID, HIV, mpox | Cancer Survivor | Contributor: @NYTimes @NBCNews @Guardian @TRF Also: @WashingtonPost @TheAtlantic @TheNation | 16,706 |
| MadS100tist | MadScientist | Neuro and Developmental biologist. PostDoc at day. Supervillain at night. #BlackLivesMatter #TransRightsAreHumanRights @mads100tist@mastodon.social | 11,266 |
| mbalter | @mbalter — investigations and commentary | Journalist/journo prof. Former Paris corresp/Science. Contributor @Truthdig. See also: https://t.co/1EBthERMGS and https://t.co/Wq88zcBEj5. | 10,252 |
| IchBin_RO | IchBin_RO | Einer der ersten LongCovid Betroffenen. Warnt seit Mai 2020 vor LongCovid. Inzwischen fast wieder gesund. Folge häufig zurück. Beruflich: Energie und Umwelt. | 7,041 |
| DrCJ_Houldcroft | Dr CJ Houldcroft 🕷️ | Lecturer working on virus evolution, from a scale of weeks (within a single patient) to millennia (between humans and Neanderthals). #GirlySwot | 6,573 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| AmericanAir | americanair | Official Twitter for the world’s largest airline. We’re here for you 24/7. For more about us or a formal response, visit https://t.co/uI8dLIDCud. | 102,729 |
| meNabster | theNabster #Doom #Gloom 🔥☠️ | I nab the guilty who lurk in darkness of inequity & injustice.Sister account to @inabster in case @Twitter bans it.Favours Principled Constitutional Monarchy. | 32,704 |
| mbalter | @mbalter — investigations and commentary | Journalist/journo prof. Former Paris corresp/Science. Contributor @Truthdig. See also: https://t.co/1EBthERMGS and https://t.co/Wq88zcBEj5. | 7,352 |
| Biorealism | Holtz | - | 6,814 |
| zhang_yueting | Yueting Zhang | God is real | 5,001 |
| schheng1 | Susana Chheng | En: Funding Programs / Research / Knowledge Creation / Innovation / Medicine / Health Science Fr: Médecine / Sciende de la santé / Science de la vie | 4,996 |
| abdeslem16 | abdeslem | professor,consultant,EX condidate for parliament,préférable ,to correspond female Doctors,Doctors,And other. | 4,995 |
| Corinne4Hillary | HRCisTrue45🖐🏻🖐🏾 FullyVaxxed & Boosted | Survivor of rape. #Hillary2024. @HillaryClinton @Powerstrikeinc @KelliGiddish inspire me. https://t.co/KEqiqJmbb2 | 4,980 |
| BolognaFishMD | Bologna Fish, M.D. | violence violence violence violence violence despair https://t.co/A55w7SRQsw | 4,921 |
| MadS100tist | MadScientist | Neuro and Developmental biologist. PostDoc at day. Supervillain at night. #BlackLivesMatter #TransRightsAreHumanRights @mads100tist@mastodon.social | 4,333 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| BryanGu24052039 | Research, Study and steal all the knowledge... | 8 |
| _b_meyer | Virologist ☣ @MeyerLab_Viro | Trying to understand why viruses tick the way they do - then, now and in future | 🇩🇪🇪🇺🇺🇳 | https://t.co/KRl7PN9ssr | 5 |
| MarionKoopmans | https://t.co/x3zIbMPDg5 Head of Viroscience Department , WHO collaborating centre EID | 3 |
| erezarmo | - | 3 |
| Biorealism | - | 3 |
| Corinne4Hillary | Survivor of rape. #Hillary2024. @HillaryClinton @Powerstrikeinc @KelliGiddish inspire me. https://t.co/KEqiqJmbb2 | 3 |
| NCarolinaKellie | MTN town girl. Black Lives Matter. #UNC 🐏#ECU Pirates 💜💛. College 🏈 🏀. Adopt 🦮🐈. 👨👩👧 Mom to Charlie 🍼. ❤️Indep 📚 stores & 👩🎨 🧑🎨. | 3 |
| sgal2121 | LEGO-Technic ist auch als Papa toll! | 2 |
| humblesci | Bioinformatics and data science | 2 |
| _GregThomson_ | - | 2 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1627839276368154625 | Dr Hodcroft (@firefoxx66) @unibern reminds us that sequencing must be more than an expensive file. #CROI2023 Need to ensure generated data are translatable to actionable #publichealth insights, research, policy, and remains hypothesis generating for next-step research. 🧱🏠 https://t.co/PEKwYD6BRg | 8 |
| 1627955571935817729 | @firefoxx66 @MichaelWorobey @PaulBieniasz Emma, could you please question @michaelworobey at the conference, why the ‘epicentre’ authors: 1) Ignored the location of the market toilets when generating SARS-CoV-2 environmental risk maps? https://t.co/GjdxaFEv6Z | 3 |
| 1627953664634814465 | @ttaha801 @firefoxx66 @MichaelWorobey @PaulBieniasz A weakness of the market theory is it rests on early case data that David Relman described as "hopelessly impoverished". The first cases may have been months beforehand and there is a ascertainment bias issue towards the market @DavidBahry sets out. https://t.co/XMsxNgDgjK | 2 |
| 1627959188042420225 | @ttaha801 @firefoxx66 @MichaelWorobey @PaulBieniasz @DavidBahry @jbloom_lab Several other preprints have also questioned aspects of the analysis in Worobey and Pekar et al, so it's appropriate WHO have reiterated "all hypotheses remain on the table" and require further investigation. https://t.co/adFby97HfR | 2 |
| 1630087111029276673 | @firefoxx66 I love you my love | 0 |
| 1627800568269008896 | @firefoxx66 @MichaelWorobey @PaulBieniasz Would love to see your talk, will there be a recording made available after the conference? | 0 |
| 1627747195150602254 | @firefoxx66 @erezarmo I’m exactly the same! Not good at recognizing people. But I’m even worse at remembering Twitter handles | 0 |
| 1627762493732048896 | @firefoxx66 @_RHSP Today at 2:30. #857 | 0 |
| 1627771945658863638 | @firefoxx66 @erezarmo The test is whether you can follow movies. If the plot moves on while you are busy figuring out who is who then that's a positive 🤣 | 0 |
| 1627776044068491292 | @firefoxx66 🙋♂️I would have recognized you! | 0 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1627839276368154625 | Dr Hodcroft (@firefoxx66) @unibern reminds us that sequencing must be more than an expensive file. #CROI2023 Need to ensure generated data are translatable to actionable #publichealth insights, research, policy, and remains hypothesis generating for next-step research. 🧱🏠 https://t.co/PEKwYD6BRg | 25 |
| 1627833588187287552 | #teamHodcroft is here! @firefoxx66 ❤️🦠🧬❤️ #CROI2023 https://t.co/7xjnwWzpPT | 24 |
| 1627955571935817729 | @firefoxx66 @MichaelWorobey @PaulBieniasz Emma, could you please question @michaelworobey at the conference, why the ‘epicentre’ authors: 1) Ignored the location of the market toilets when generating SARS-CoV-2 environmental risk maps? https://t.co/GjdxaFEv6Z | 11 |
| 1627099885223784450 | @firefoxx66 It's been a pleasure, doctor, and we look forward to seeing you for years to come! | 8 |
| 1627953664634814465 | @ttaha801 @firefoxx66 @MichaelWorobey @PaulBieniasz A weakness of the market theory is it rests on early case data that David Relman described as "hopelessly impoverished". The first cases may have been months beforehand and there is a ascertainment bias issue towards the market @DavidBahry sets out. https://t.co/XMsxNgDgjK | 6 |
| 1628456470961422336 | @firefoxx66 Note to self: pack changing clothes for a conference. Apparently there's a certain expectation | 6 |
| 1627959188042420225 | @ttaha801 @firefoxx66 @MichaelWorobey @PaulBieniasz @DavidBahry @jbloom_lab Several other preprints have also questioned aspects of the analysis in Worobey and Pekar et al, so it's appropriate WHO have reiterated "all hypotheses remain on the table" and require further investigation. https://t.co/adFby97HfR | 5 |
| 1627956153241174016 | @firefoxx66 @MichaelWorobey @PaulBieniasz 2) only selected stalls which were environmental positive for the 'unidentified meat' category 3) Ignored the first officially documented case, 48F with onset December 10th and unliked to the market? Thx https://t.co/ddAMIsIPXM https://t.co/JqOwTB29t6 | 5 |
| 1628479253028167681 | @firefoxx66 Happy to be of help! https://t.co/TpT2nCc2AU | 3 |
| 1627710152861179904 | @firefoxx66 Love the dress! | 3 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #croi2023 | 13 |
| #sarscov2 | 3 |
| #publichealth | 2 |
| #hiv | 2 |
| #longcovid | 1 |
| #covid19 | 1 |
| #stem | 1 |
| #womeninscience | 1 |
| #womeninstem | 1 |
| #xbb15 | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @firefoxx66 | 107 |
| @michaelworobey | 17 |
| @paulbieniasz | 15 |
| @benryanwriter | 5 |
| @bodenclothing | 5 |
| @ttaha801 | 5 |
| @davidbahry | 5 |
| @ekvraga | 4 |
| @marionkoopmans | 3 |
| @_b_meyer | 3 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
40
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 🎉 | 4 | party_popper |
| 🙂 | 3 | slightly_smiling_face |
| ❄️ | 3 | snowflake |
| 😉 | 3 | winking_face |
| 😁 | 2 | beaming_face_with_smiling_eyes |
| 🌳 | 2 | deciduous_tree |
| 🌨️ | 2 | cloud_with_snow |
| 🧱 | 2 | brick |
| 🏠 | 2 | house |
| 👍🏼 | 2 | thumbs_up_medium-light_skin_tone |
Emojis groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 19 |
| Travel & Places | 9 |
| People & Body | 7 |
| Activities | 4 |
| Animals & Nature | 3 |
| Objects | 1 |
| Flags | 1 |