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#iconohash presents #TwitterSmarter

Scroll down for the #TwitterSmarter conversation report for October 15th, 2020 EST.

iconohash

the world's conversation archive

#TwitterSmarter for October 15th, 2020 EST

01
1st

coming together

When it comes to participants, we ranked 1st among 211 conversations.

1st

participating

In terms of the number of posts, we ranked 1st out of 211 conversations that took place.

1st

amplification

This conversation ranked 1st out of 211 in terms of the amplification of ideas & content.

how we participated. Here's how participants reacted & engaged each other

Reactions
33%

Amplified

There were 351 reshares, 33% of posts, during the course of the conversation.

45%

Engaged

45% of participants in this conversation engaged each other 476 times.

3%

Content

3% of participants in this conversation shared a total of 5 unique pieces of content.

quick facts.

Here are the basic facts of the conversation for for October 15th, 2020.

0
Active
Participants
0
Posts
Total

meet the influencers the movers and shakers of #TwitterSmarter

02

the top of the list. Top influencers in the chat

IMPACT
@LDRBRND

@LDRBRND

Gene Petrov - LDRBRND
Believer. Husband. Dad to adopted triplets. Yes, life is

@MadalynSklar

@MadalynSklar

Madalyn Sklar - Digital Marketing since 1996

@NathalieGregg

@NathalieGregg

Nathalie Gregg
Changing the trajectory of how #women #think & #practice #leadership. #LeadLoudly is the battle cry for women to live #bold #confident #fearless

about the participants. let's take a look at everyone who show'd up

03

top professions what are they doing when they're not in #TwitterSmarter

insight

  the top participating professions
out of 32 total

marketing
writer
strategist
consultant
management

gender an estimation of what the gender break down looks like
= 1 men or women

insight

Women

Men

about the content. the best content that was shared

04
Plants | Free Full-Text | Comparison of Read Mapping and Variant Calling Tools for the Analysis of Plant NGS Data
High-throughput sequencing technologies have rapidly developed during the past years and have become an essential tool in plant sciences. However, the analysis of genomic data remains challenging and relies mostly on the performance of automatic pipelines. Frequently applied pipelines involve the alignment of sequence reads against a reference sequence and the identification of sequence variants. Since most benchmarking studies of bioinformatics tools for this purpose have been conducted on huma

chat growth how is #TwitterSmarter growing over time?

05

want more? are you interested in the full data analysis for this chat? Full transcript? Longer view at chat growth?

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