Evidence map›Paper›PMID 35928111›Full record

ArticleFrontiers in veterinary science2022

Culture of Kenyan Goat (

Nakami Wilkister Nabulindo, James Nguhiu-Mwangi, Ambrose Ng'eno Kipyegon, Moses Ogugo, Charity Muteti, Tiambo Christian, Melissa J Oatley, Jon M Oatley, Stephen Kemp

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

9 authors at 3 institutions in 2 countries.

Nakami Wilkister NabulindoCentre for Tropical Livestock Genetics and Health Laboratory, International Livestock Research Institute, Nairobi, Kenya.
James Nguhiu-MwangiDepartment of Clinical Studies, Faculty of Veterinary Medicine, University of Nairobi, Nairobi, Kenya.
Ambrose Ng'eno KipyegonDepartment of Clinical Studies, Faculty of Veterinary Medicine, University of Nairobi, Nairobi, Kenya.
Moses OgugoCentre for Tropical Livestock Genetics and Health Laboratory, International Livestock Research Institute, Nairobi, Kenya.
Charity MutetiCentre for Tropical Livestock Genetics and Health Laboratory, International Livestock Research Institute, Nairobi, Kenya.
Tiambo ChristianCentre for Tropical Livestock Genetics and Health Laboratory, International Livestock Research Institute, Nairobi, Kenya.
Melissa J OatleyCenter for Reproductive Biology, Washington State University, Pullman, WA, United States.
Jon M OatleyCenter for Reproductive Biology, Washington State University, Pullman, WA, United States.
Stephen KempCentre for Tropical Livestock Genetics and Health Laboratory, International Livestock Research Institute, Nairobi, Kenya.
International Livestock Research Institute · KEUniversity of Nairobi · KEWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The undifferentiated spermatogonial population in mammalian testes contains a spermatogonial stem cell (SSC) population that can regenerate continual spermatogenesis following transplantation. This capacity has the potential to be exploited as a surrogate sires breeding tool to achieve widespread dissemination of desirable genetics in livestock production. Because SSCs are relatively rare in testicular tissue, the ability to expand a population

Indexed as

culturegoatmarkersserum-freespermatogoniaspermatogonial stem cells

Identifiers

PMID35928111
PMCPMC9343694
OpenAlexW4285795094

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.