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#iconohash presents #PhdChat

Scroll down for the #PhdChat conversation report for September 22nd, 2020 EST.

iconohash

the world's conversation archive

#PhdChat for September 22nd, 2020 EST

01
6th

coming together

When it comes to participants, we ranked 6th among 241 conversations.

6th

participating

In terms of the number of posts, we ranked 6th out of 241 conversations that took place.

2nd

amplification

This conversation ranked 2nd out of 241 in terms of the amplification of ideas & content.

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

Reactions
59%

Amplified

There were 208 reshares, 59% of posts, during the course of the conversation.

2%

Engaged

2% of participants in this conversation engaged each other 6 times.

18%

Content

18% of participants in this conversation shared a total of 13 unique pieces of content.

quick facts.

Here are the basic facts of the conversation for for September 22nd, 2020.

0
Active
Participants
0
Posts
Total

meet the influencers the movers and shakers of #PhdChat

02

the top of the list. Top influencers in the chat

IMPACT
@AndGenomics

@AndGenomics

DNA & RNA research
Highlighting publications about #DNA #RNA #genomics #RNAseq #evolution #genome #plants #bioinformatics #biotech #synbio #openscience #preprints

@OpenAcademics

@OpenAcademics

OpenAcademics
Twitter community to support fellow academics across all disciplines. @OpenAcademics for RT. #DiversityandInclusion #MentalHealth #OAposter

@joanneXaugust

@joanneXaugust

Joanne August
bibliophile unicorn

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 #PhdChat

insight

  the top participating professions
out of 44 total

research
professor
academic
writer
teacher

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
The reuse of public datasets in the life sciences: potential risks and rewards [PeerJ]
The ‘big data’ revolution has enabled novel types of analyses in the life sciences, facilitated by public sharing and reuse of datasets. Here, we review the prodigious potential of reusing publicly available datasets and the associated challenges, limitations and risks. Possible solutions to issues and research integrity considerations are also discussed. Due to the prominence, abundance and wide distribution of sequencing data, we focus on the reuse of publicly available sequence datasets. We d

chat growth how is #PhdChat growing over time?

05

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