Identification of Prosthetic Joint Infection Pathogens Using a Shotgun Metagenomics Approach
Clicks: 199
ID: 272582
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
199 views
55 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #203 of 1,084 articles by views in clinical infectious diseases
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,084 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This study applies metagenomic shotgun sequencing to identify prosthetic joint pathogens from infected and uninfected prostheses. This single approach detects p
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (21 words).
Try re-searching for a better abstract.
| Reference Key |
j2018clinicalidentification
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Thoendel, Matthew J;Jeraldo, Patricio R;Greenwood-Quaintance, Kerryl E;Yao, Janet Z;Chia, Nicholas;Hanssen, Arlen D;Abdel, Matthew P;Patel, Robin; |
| Journal | clinical infectious diseases |
| Year | 2018 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.