Tweets Analysis - Keyword: @antonioregalado

Overview

Total number of tweets analysed

111

Earliest tweet was on

2023-03-17

Latest tweet was on

2023-03-26

Tweets covering

8 days

Average age of authors' accounts

9 years


Summarization

The tweets cover a range of topics including criticism of certain articles, birthday wishes, discussion of the origin of the COVID-19 virus and the use of mtDNA data, a call for a sequel to Silicon Valley, sharing of articles and films, a reflection on Blade Runner's predictions, and conversations with other users on various topics.

Topic Modeling

  1. Truthfulness in reporting
  2. Coronavirus and its origins
  3. Technology and innovation
  4. Film and media industry
  5. Artificial Intelligence and cybersecurity

Emotional Analysis

The emotions expressed in these tweets are mostly negative, with a few positive and neutral ones. There is frustration and criticism towards certain individuals or organizations, such as The Atlantic and Angela, for perceived dishonesty or manipulation of information. There is also skepticism and disagreement with certain claims or statements made by others, particularly regarding the origin of the COVID-19 virus. On the positive side, there is appreciation for a film festival and a call for a sequel to a TV show. Some tweets are neutral and ask for information or clarification on certain topics.

Trend Analysis

  1. Criticism of The Atlantic magazine and its reporting
  2. Discussion of the origin of SARS-CoV-2 and its potential animal sources
  3. Recommendations for media and entertainment, including pleas for a sequel to Silicon Valley
  4. Scientific discussions of gene therapy, AI, and software security
  5. International politics and sanctions imposed by the United Nations

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

31

Percentage of total tweets

27%

Number of Original tweets

6

Percentage of total tweets

5%

Number of tweets that contain Mentions

111

Percentage of total tweets

100%

Number of tweets that were Replies

72

Percentage of total tweets

64%

Number of tweets that were Quotes

13

Percentage of total tweets

11%

Number of tweets that contain Hashtags

7

Percentage of total tweets

6%


Top 5 devices used to tweet

Source Count
Twitter Web App 57
Twitter for iPhone 33
Twitter for Android 16
Twitter for iPad 4
Dynamic Signal 1

What devices were used to tweet


Top 10 accounts with highest followers count

Username Name Bio Followers count
matthewherper Matthew Herper Writing and events at STAT. This is biology's century; Every data point has a face. ‘21 Polk Award. Mastodon: @matthewherper@federate.social 111,244
R_H_Ebright Richard H. Ebright Board of Governors Professor of Chemistry and Chemical Biology @RutgersU @BiosafetyNow 61,015
JenSeniorNY Jennifer Senior Currently: Staff writer @theatlantic. Formerly: Columnist @nytopinion; daily book critic @nytimes. Author of All Joy and No Fun and On Grief. Wife, mom, etc. 45,983
jason_pontin Jason Pontin VC: Partner @DCVC. Cofounder+board @totustx. Chair @StrateosLab+@zwitterco+Equilibrio. Board @evonetix+@RelationRx. Writer @WIRED. Ex EIC+Publisher @techreview. 27,976
CharlesRixey Charles Rixey, MA MBA (c) 🐭 Researching SARS-CoV-2's origin w/ #DRASTIC Dad/Husband/OIF Vet/Historian USMC/DoS Weapons of Mass Destruction (WMD) professional secure: chrixey@protonmail.com 27,555
ydeigin Yuri Deigin Longevity maximalist—working on in vivo partial reprogramming gene therapies since 2017 | “Lab leak guy”, DRASTIC cofounder https://t.co/jpRBlDRMg1 |🇺🇦🇨🇦 23,567
WashburneAlex Alex Washburne Deaf guy (he/him), great listener! Princeton PhD Math/Stats/Bio/Finance microbiomes, epi + evo 23,105
natashaloder Natasha Loder Stories that matter. Health Editor, The Economist 💉 Writer ✍️ Broadcaster🎤 Cartoonist 💬 Views own. 21,392
luigi_warren Luigi Warren Just the guy who put mRNA on the map and figured out what Shi Zheng-Li has been hiding. Also: luigi_warren at https://t.co/YqwyjL6eUs and https://t.co/c8BZ9ELDHb 15,945
kanzure Bryan Bishop mad science https://t.co/0IumnAANib | #bitcoin developer | board @ LedgerX | co-founded Custodia Bank (prev. CTO) | https://t.co/ND8W0MT92R 14,539

Top 10 accounts with highest friends count

Username Name Bio Followers count
Biorealism Holtz - 6,947
FjvJjo efna conflicto, conflicto, conflicto,no se acabarán asta que los adultos dejemos de transmitir el odio, egoísmo, rabias y frustraciones a la generaciones que vienen 5,002
ayirpelle priya joseph geek, entrepreneur, 'I strictly color outside the lines!', opinions r my own indeed. @ayirpelle , universal handle at this time 5,000
luigi_warren Luigi Warren Just the guy who put mRNA on the map and figured out what Shi Zheng-Li has been hiding. Also: luigi_warren at https://t.co/YqwyjL6eUs and https://t.co/c8BZ9ELDHb 4,840
past_is_future 🐣🐰 Peter Jacobs, PhD 🐰🐣 researching Pliocene and future climate and hoping to keep the former from becoming the latter. 4,551
natashaloder Natasha Loder Stories that matter. Health Editor, The Economist 💉 Writer ✍️ Broadcaster🎤 Cartoonist 💬 Views own. 4,086
andrewhessel Andrew Hessel Peering over the edge of engineered biology. 4,070
KyleSGibson Kyle S. Gibson I used to work in crypto, legally I have to tell you that or my opinions are voided 3,645
VitaBrevisBebe moi - 3,314
matthewherper Matthew Herper Writing and events at STAT. This is biology's century; Every data point has a face. ‘21 Polk Award. Mastodon: @matthewherper@federate.social 3,063

Most active users

Username Bio Number of tweets
FjvJjo conflicto, conflicto, conflicto,no se acabarán asta que los adultos dejemos de transmitir el odio, egoísmo, rabias y frustraciones a la generaciones que vienen 10
cody_sheehy Documentary filmmaker, entrepreneur, and sailor #rhumblinemedia #filmstacker 5
JH16124219 - 5
Uptheleft Economic Geographer & Associate prof. Views are my own. @MarcelloGraziano@econtwitter.net #marsocsci #energy #childcare #FeRSA 4
JenSeniorNY Currently: Staff writer @theatlantic. Formerly: Columnist @nytopinion; daily book critic @nytimes. Author of All Joy and No Fun and On Grief. Wife, mom, etc. 3
HankGreelyLSJU I'm a Stanford law prof. I work on ethical, legal, and social issues in biosciences. My book CRISPR People came out in Feb 2021, joining 2016's The End of Sex. 3
MoleculGames Biology is Just Beginning™ 3
ydeigin Longevity maximalist—working on in vivo partial reprogramming gene therapies since 2017 | “Lab leak guy”, DRASTIC cofounder https://t.co/jpRBlDRMg1 |🇺🇦🇨🇦 3
virologyanon Nature is the greatest terrorist of all. Science's greatest weapon against Nature is Lies. 3
CallumJCParr Pipetto ergo sum; Current postdoc in Japan working on a few things; iPSC, neurons, RNA biology, RNA modifications, Nanopore sequencing. COI: 3 share in £ONT 3

Tweets per day


Top 10 tweets with highest Retweet count

ID Text Retweet count
1636822861053607997 @antonioregalado @TheAtlantic Happy Birthday, Proximal Origin https://t.co/AvHHCD8zto 2
1638294521476784128 @antonioregalado @emilyakopp @BioTurboNick Post me a screenshot please, I cannot find this statement in the preprint. If this is correct, the study by Gao et al. was submitted to Nature and is currently under review. The raw data was probably sent to GISAID in the review process. Using this data is scientific fraud, IMO. https://t.co/yHRhKymMzq 1
1638203764321517574 @antonioregalado Yes, that’s *all* those mtDNA data demonstrate — that those species were present in the market AT SOME POINT. And yes, a virus circulating in other species should exhibit some species-specific adaptations (as the mink farm SARS2 evolution shows) but only canonical human SARS2… https://t.co/B1FKIQ85Zp 1
1638282206241083406 @antonioregalado @emilyakopp @BioTurboNick Gao's study was in review for about a year and reviewers might have requested them to deposit the data in GISAID prior to publication (probably soon). This might have resulted in a case of serious scientific fraud. Does the preprint suggest that it originated outside of China? 🤔 1
1637136599308812304 @ag25121993 @pacifistrebel @PratikshaJamwal @Aborodin88 @QHbrcht @quantumheat @QRLedger @LadyVelvet_HFQ @IAMQUEENLATIFAH @QamarAnchor @VeganRecovering @antonioregalado @RedBingCherry @sama @theliverdr Agreed. 1
1638182259416084484 @antonioregalado Actually, it doesn’t, as the authors themselves concede: https://t.co/4u8uMV4PV5 1
1638905734308978688 @antonioregalado what's the status quo with search terms? do they get reported? 1
1638192060766343168 @antonioregalado Traces of raccoon dog mtDNA found where raccoon dogs were sold are no more suggestive that raccoon dogs were the source of the virus than traces of cat and dog mtDNA found in those samples being suggestive that cats or dogs were the source of the virus. 1
1638190783391236099 The @MakePeople_Film was honored to participate in the #labmecrazy #film #festival. We hope to go again soon! It was amazing. Thanks @labmecrazy Check our this video that features our film subject @antonioregalado https://t.co/WJ3mgdhBEZ 1
1638433593142943744 @antonioregalado "...suggests there were infected animals in the market." 🤦‍♂️🤦‍♂️ It suggests no such thing. Since argument by authority is the only thing that sci-comm writers seem to understand, please have a look at this thread. https://t.co/24z7tNRPc9 1

Top 10 tweets with highest Like count

ID Text Like count
1636814319584423936 @antonioregalado @TheAtlantic Truthfulness is not their strong suit. 9
1636822861053607997 @antonioregalado @TheAtlantic Happy Birthday, Proximal Origin https://t.co/AvHHCD8zto 8
1638203764321517574 @antonioregalado Yes, that’s *all* those mtDNA data demonstrate — that those species were present in the market AT SOME POINT. And yes, a virus circulating in other species should exhibit some species-specific adaptations (as the mink farm SARS2 evolution shows) but only canonical human SARS2… https://t.co/B1FKIQ85Zp 7
1638702889412485122 @antonioregalado @MattHourihan It...it does exist and was removed b/c of the 12 month calendar. Did I recall it correctly? 5
1636853154506735616 @antonioregalado @TheAtlantic Angela likely seeded the story into the press via Pace PR and their usual contacts, as she spins the data into something it isn't. AR says “This is a really strong indication that animals at the market were infected. There’s really no other explanation that makes any sense.” 4
1639650821800353794 Hello @realalecberg we NEED a sequel to your excellent @HBO show "Silicon Valley"! Call it, say, "Silicon Valley: The Bank." Here's your lead actor: cc @antonioregalado @ByrneHobart @bydavidcrow @brookeamasters @leung @AntoineGara @Tabby_Kinder @SFBIZronleuty [1 of 2] https://t.co/ioNvw7qAiV 3
1636820439765856256 @antonioregalado @TheAtlantic Oh, you're not sure? That's cute. 3
1638190783391236099 The @MakePeople_Film was honored to participate in the #labmecrazy #film #festival. We hope to go again soon! It was amazing. Thanks @labmecrazy Check our this video that features our film subject @antonioregalado https://t.co/WJ3mgdhBEZ 3
1638192060766343168 @antonioregalado Traces of raccoon dog mtDNA found where raccoon dogs were sold are no more suggestive that raccoon dogs were the source of the virus than traces of cat and dog mtDNA found in those samples being suggestive that cats or dogs were the source of the virus. 3
1638253185876783106 @MakePeople_Film @cody_sheehy @samira_kiani1 @heythisisannie Here's an article on gene therapy for lowering cholesterol from @AntonioRegalado https://t.co/G1DPHQqpv5 also check out Liz Parrish's experimental therapies https://t.co/pYIZqgD0uS 3

Top 3 Languages Used In Tweets


Top 10 Hashtags used

Hashtag Count
#makepeoplebetter 2
#labmecrazy 2
#film 2
#festival 2
#biohacking 1
#genetics 1
#futurism 1
#geneediting 1
#immortality 1
#makepeoplebetterfilm 1

Top 10 Hashtags Used In Tweets

Top 10 mentions

Mention Count
@antonioregalado 112
@theatlantic 14
@matthourihan 6
@bioturbonick 6
@ydeigin 5
@emilyakopp 5
@cody_sheehy 4
@makepeople_film 4
@riparian 4
@samira_kiani1 3

Top 10 mentions

Wordcloud of Tweets


Emojis

Average number of emojis used per tweet

9

Emojis used in tweets

Emoji Count Emoji Text
🤦‍♂️ 4 man_facepalming
🤔 3 thinking_face
😊 1 smiling_face_with_smiling_eyes
😉 1 winking_face
🍧 1 shaved_ice

Emojis groups

Emoji Group Count
Smileys & Emotion 5
People & Body 4
Food & Drink 1