slims.web.id

Backlink analytics and domain authority

Referring domains
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Domain DR ▾ Dofollow ref. domains Links to target Dofollow links
libcat.uin-malang.ac.id analyze link 13 8 1,116 1116
library.wbi.ac.id analyze link 25 1 1,010 1010
perpustakaan.komnasperempuan.go.id analyze link 15 8 601 601
elib.bapeten.go.id analyze link 0 569 569
e-library.poliwangi.ac.id analyze link 35 1 504 504
elibrary.uika-bogor.ac.id analyze link 16 1 502 502
elib.polimedia.ac.id analyze link 16 23 478 478
library-bpsdm.kemendagri.go.id analyze link 0 374 374
app-library.poltekpel-sby.ac.id analyze link 34 2 372 372
perpustakaan.kkp.go.id analyze link 46 13 354 354
opac.peradaban.ac.id analyze link 50 2 348 348
slims.radenfatah.ac.id analyze link 47 2 318 318
perpus.ukh.ac.id analyze link 43 2 306 306
library.polinsada.ac.id analyze link 13 9 268 268
uninus.perpust.id analyze link 19 1 266 266
mrc.cikal.co.id analyze link 15 1 254 254
library.ulb.ac.id analyze link 50 2 251 251
digilib.ukwk.ac.id analyze link 0 224 224
digilib.ubl.ac.id analyze link 51 3 220 220
perpustakaankarmelindo.org analyze link 16 3 206 206
perpus.stikep-ppnijabar.ac.id analyze link 39 1 204 204
lib.pasca.isi.ac.id analyze link 49 2 202 202
oasis.iik.ac.id analyze link 18 1 197 197
digilib.uwp.ac.id analyze link 0 194 194
digilib.polteksahid.ac.id analyze link 0 177 177
perpustakaan.smkn1blitar.sch.id analyze link 0 168 168
library.sman1rejanglebong.sch.id analyze link 43 1 164 164
catalog.uinsa.ac.id analyze link 12 9 156 156
perpustakaan.stain-madina.ac.id analyze link 54 3 156 156
library.itats.ac.id analyze link 12 1 150 150
perpustakaan.akrb.ac.id analyze link 0 144 144
lib.um-palembang.ac.id analyze link 45 1 142 142
numlrwp.slims.pk analyze link 0 138 138
perpus.man1ponorogo.sch.id analyze link 0 138 138
library.sttrii.ac.id analyze link 0 130 130
opac.ukmc.ac.id analyze link 43 1 126 126
library.upnvj.ac.id analyze link 42 5 122 122
library.unimed.ac.id analyze link 12 9 121 121
opac.uin-antasari.ac.id analyze link 0 116 116
intelib.perpus.untad.ac.id analyze link 48 1 108 108
pustakasmapta.com analyze link 0 107 107
e-library.nobel.ac.id analyze link 0 106 106
perpustakaan.rsmoewardi.com analyze link 0 106 106
perpus.mtsn9blitar.sch.id analyze link 0 102 102
slims.liceodelvalle.edu.mx analyze link 0 100 100
lib.smki-yogya.sch.id analyze link 54 2 100 100
library.mamaarifalmuhtadi.sch.id analyze link 16 28 99 99
mirror.smk-yadika-bangil.sch.id analyze link 0 96 96
ebook.itenas.ac.id analyze link 16 29 93 93
pustaka.sman16smg.sch.id analyze link 0 92 92
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Frequently Asked Questions
How many referring domains link to slims.web.id?
This page lists all unique domains that contain at least one backlink pointing to slims.web.id. Each referring domain is counted once regardless of how many individual links it contains. The count of referring domains is a stronger indicator of backlink profile strength than raw backlink count, because multiple links from the same domain carry diminishing returns.
What is the difference between backlinks and referring domains?
Backlinks are individual hyperlinks from other websites, while referring domains represent the unique websites those links come from. For example, if example.com links to your site from 5 different pages, that counts as 5 backlinks but only 1 referring domain. Search engines value diversity of referring domains more than sheer link volume, so 100 links from 100 different domains is generally more valuable than 100 links from a single domain.
Which referring domains have the highest authority?
The referring domains table for slims.web.id is sorted by Domain Rating (DR) by default, showing the most authoritative linking domains first. DR is scored from 0 to 100 based on each domain's own backlink profile. Links from high-DR domains pass more authority and have a greater impact on search rankings than links from low-DR domains.
How is referring domain quality measured?
Referring domain quality is measured using Domain Rating (DR), a score from 0 to 100 that reflects the strength of a domain's backlink profile. DR is calculated using a blend of two signals: the logarithmic count of effective referring domains (quantity) and PageRank percentile (quality). The result is calibrated against industry-standard benchmarks. A higher DR means the referring domain itself has strong backlinks, making its outbound links more valuable.