ResearchGate and Google Scholar: how much do they differ in publications,citations and different metrics and why?

ResearchGate has emerged as a popular professional network for scientists and researchers in a very short span. Similar to Google Scholar, the ResearchGate indexing uses an automatic crawling algorithm that extracts bibliographic data, citations, and other information about scholarly articles from various sources. However, it has been observed that the two platforms often show different publication and citation data for the same institutions, journals, and authors. While several previous studies analysed different aspects of ResearchGate and Google Scholar, the quantum of differences in publications, citations, and metrics between the two and the probable reasons for the same are not explored much. This article, therefore, attempts to bridge this research gap by analysing and measuring the differences in publications, citations, and different metrics of the two platforms for a large data set of highly cited authors. The results indicate that there are significantly high differences in publications and citations for the same authors captured by the two platforms, with Google Scholar having higher counts for a vast majority of the cases. The different metrics computed by the two platforms also differ in their values, showing different degrees of correlation. The coverage policy, indexing errors, author attribution mechanism, and strategy to deal with predatory publishing are found to be the main probable reasons for the differences in the two platforms.

     

The case of significant variations in gold–green and black open access: evidence from Indian research output

Scientometrics - Open Access has emerged as an important movement worldwide during the last decade. There are several initiatives now that persuade researchers to publish in open access journals...     

Bench-scale batch bioleaching of spent petroleum catalyst using mesophilic iron and sulfur oxidizing acidophiles

Microbial leaching of a petroleum spent catalyst was carried out using mixed mesophilic iron and sulfur oxidizing acidophiles. Bench-scale batch stirred tank reactors with a working volume of 1 L were used in this study at 35 °C. The pulp density considered for the study was 10% (w/v), while the particle size of the spent catalyst was varied by 45–106, 106–212 and >212 μm. The leaching percentage of Ni from the spent catalyst was found to be highest (97–98%) with varying particle size. However, the leaching yield for rest of the metals like Al, Fe, V and Mo was 70–74%, 66–85%, 33–43% and 22–45%, respectively. Influence of particle size was predominant on the recovery of all metals except Ni. Assessment of the generation of the bioleach residue after bioleaching showed a weight loss of 54–62% due to the dissolution of the metal values from the spent catalyst. The mineralogical study conducted by X-ray diffraction and scanning electron microscopy supports the dissolution of metals from the spent catalyst. Jarosite mineral phase was the dominant mineral phase in the bioleach residue due to the dissolution of the oxidic and sulfidic mineral phases present in the feed spent catalyst.     

Indian Science Reports: a web-based scientometric portal for mapping Indian research competencies at overall and institutional levels

Scientometrics - The article presents an introduction to a newly created scientometric portal called Indian Science Reports, available at www.indianscience.net . The portal is designed to fulfil...     

Antidiabetic,angiotensin-converting enzyme inhibitory and anti-inflammatory activities of fermented camel milk and characterisation of novel bioactive peptides from lactic-fermented camel milk with molecular interaction study

This study was to separate and purify antidiabetic and angiotensin-converting enzyme (ACE) inhibitory peptides from Lactiplantibacillus plantarum KGL3A fermented camel milk. After 48 h of fermentation at 37°C, ɑ-amylase inhibition, ɑ-glucosidase inhibition, lipase inhibition and ACE inhibitory activities were 80.94%, 64.45%, 63.93%, and 77.53%, respectively in fermented camel milk. Optimisation of growth condition for the evaluation of maximum peptide production was evaluated by measuring proteolytic activity (O-phthalaldehyde, OPA method) with different inoculation rates and incubation times and highest proteolytic activity (9.21 mg/mL) was observed after 48 h of fermentation at 2.5% rate of inoculation. The antidiabetic and ACE inhibitory activity of 3 kDa permeate fraction were higher as compared with other fractions. Purification of antidiabetic and ACE inhibitory peptides from fermented camel milks was performed through sodium dodecyl-sulphate polyacrylamide gel electrophoresis, and 2-dimensional polyacrylamide gel electrophoresis and maximum number of protein bands were present in between 25 and 10 kDa. The generated peptide sequences were matched with antihypertensive peptide database (AHTPDB) and BIOPEP databases for confirming the antidiabetic and ACE inhibitory activity. Peptides, that is. TDVMPQWW and MMSLVSLLLVGILFPTIQAK were having highest peptide ranker score among the all sequences. Furthermore, anti-inflammatory activity (TNF-α, IL-6 and IL-1β) of fermented camel milk was evaluated in macrophage cell line RAW 264.7 (Ralph and William's cell line). Furthermore, peptides were predicted to have improved binding affinity against Human Angiotensin converting enzyme (hACE) through molecular docking.