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#iconohash presents #phdchat

Scroll down for the #phdchat conversation report for September 24th, 2020 EST.

iconohash

the world's conversation archive

#phdchat for September 24th, 2020 EST

01
2nd

coming together

When it comes to participants, we ranked 2nd among 237 conversations.

2nd

participating

In terms of the number of posts, we ranked 2nd out of 237 conversations that took place.

1st

amplification

This conversation ranked 1st out of 237 in terms of the amplification of ideas & content.

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

Reactions
85%

Amplified

There were 586 reshares, 85% of posts, during the course of the conversation.

1%

Engaged

1% of participants in this conversation engaged each other 6 times.

12%

Content

12% of participants in this conversation shared a total of 16 unique pieces of content.

quick facts.

Here are the basic facts of the conversation for for September 24th, 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
@kg_kritika

@kg_kritika

Kritika Gupta
Alpha female! Old School I #PhDStudent @UMNHM | Researcher | Educator | Food & Nutrition Security | She/Her | #schoolnutrition | #womeninSTEM #SDG #SciComm

@AndGenomics

@AndGenomics

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

@jennarkiely

@jennarkiely

Jenna Kiely
Future psychologist, current cat mom and breakfast connoisseur

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 58 total

research
professor
academic
writer
engineer

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

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

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