Annual acknowledgement of reviewers
Clicks: 43
ID: 269004
2014
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
Steady Performance
12.6
/100
43 views
4 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #61 of 63 articles by views in bmc evolutionary biology
Most read
Least read
Bar heights use a square-root scale.
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
PDF | Contributing reviewers The editors of BMC Evolutionary Biology would like to thank all our reviewers who have contributed to the journal in Volume... | Find, read and cite all the research you need on ResearchGate
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (35 words).
Try re-searching for a better abstract.
| Reference Key |
foote2014bmcannual
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Christopher Foote; |
| Journal | bmc evolutionary biology |
| Year | 2014 |
| DOI |
http://dx.doi.org/10.1186/1471-2148-14-22
|
| 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.