Evidence map›Paper›PMID 29374032›Full record

ArticleApplied and environmental microbiology2018

Bioavailability of Mineral-Bound Iron to a Snow Algal-Bacterial Coculture and Implications for Albedo-Altering Snow Algal Blooms.

Z R Harrold, E M Hausrath, A H Garcia, A E Murray, O Tschauner, J A Raymond, S Huang

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Single-cell ionomes of terrestrial cryosphere algae.Communications earth & environment · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Snow and Glacial Algae: A ReviewJournal of phycology · 2020
    Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Z R HarroldDepartment of Geoscience, University of Nevada, Las Vegas, Nevada, USA zoe.harrold@dri.edu Elisabeth.Hausrath@unlv.edu.
E M HausrathDepartment of Geoscience, University of Nevada, Las Vegas, Nevada, USA zoe.harrold@dri.edu Elisabeth.Hausrath@unlv.edu.
A H GarciaDepartment of Geoscience, University of Nevada, Las Vegas, Nevada, USA.
A E MurrayDivision of Earth and Ecosystem Science, Desert Research Institute, Reno, Nevada, USA.
O TschaunerDepartment of Geoscience, University of Nevada, Las Vegas, Nevada, USA.
J A RaymondSchool of Life Sciences, University of Nevada, Las Vegas, Nevada, USA.
S HuangDepartment of Geoscience, University of Nevada, Las Vegas, Nevada, USA.
University of Nevada, Las Vegas · USDesert Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Snow algae can form large-scale blooms across the snowpack surface and near-surface environments. These pigmented blooms can decrease snow albedo and increase local melt rates, and they may impact the global heat budget and water cycle. Yet, the underlying causes for the geospatial occurrence of these blooms remain unconstrained. One possible factor contributing to snow algal blooms is the presence of mineral dust as a micronutrient source. We investigated the bioavailability of iron (Fe)-bearing minerals, including forsterite (Fo

Indexed as

EutrophicationBacteriaBiological AvailabilityChlorophyceaeCoculture TechniquesIronMineralsSnowIronMineralsalgal-bacterial cocultureChloromonas brevispinaforsteriteiron bioavalibilitymineral weatheringpedobactersnow algae

Identifiers

PMID29374032
PMCPMC5861838
OpenAlexW2792752072

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.