Evidence map›Paper›PMID 38312334›Full record

ArticleBiodiversity data journal2023

A comprehensive database of squirrel distribution and occurrence in South Asia.

Udayraj Swati, Senan D'Souza, Palassery Suresh Aravind, Rakesh Kumar Muni, Nandini Rajamani

Open access · goldAbstract read
In one paragraph

Article in Biodiversity data journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Udayraj SwatiIISER Tirupati, Tirupati, India IISER Tirupati Tirupati India.
Senan D'SouzaIISER Tirupati, Tirupati, India IISER Tirupati Tirupati India.ORCID https://orcid.org/0000-0002-5491-5754
Palassery Suresh AravindIISER Tirupati, Tirupati, India IISER Tirupati Tirupati India.
Rakesh Kumar MuniIISER Tirupati, Tirupati, India IISER Tirupati Tirupati India.
Nandini RajamaniIISER Tirupati, Tirupati, India IISER Tirupati Tirupati India.
Indian Institute of Science Education and Research, Tirupati · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Squirrels of South Asia (SOSA) database compiles comprehensive distribution and occurrence information on all squirrel species that occur in this region (34 species). These 34 squirrel species, including tree, flying and ground squirrels, represent 14% of global sciurid diversity. The database collates curated data from various sources such as museums, literature, primary fieldwork, citizen science and social media platforms and covers the entire distributional ranges of the target species, including countries in Central Asia and Southeast Asia when required. The SOSA database enhances our understanding of squirrel distribution, population dynamics and their conservation needs in South Asia by consolidating information. It aims to be a valuable resource for researchers, conservationists and wildlife enthusiasts. New information: As of March 2023, the database comprises over 40,000 records of 34 species in over 30 countries globally. Spending an average of 334 hours on each species, more than 20 data collectors put in over 10,000 hours to gather, curate and build this database. The database has resulted in novel records of species occurrence in regions and countries that are poorly represented in currently available global data repositories. The current version which has been made public via GBIF comprises of 1187 records of all 34 species across multiple sources. This is a subset of the SOSA database.

Indexed as

Asiacitizen sciencedatabasemuseum recordsoccurrencesocial mediaSouth Asiasquirrels

Identifiers

PMID38312334
PMCPMC10838086
OpenAlexW4388189326

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.