UCSF’s most extreme cross-campus collaborators

UCSF is spread all across San Francisco, with faculty members’ primary addresses spanning over a dozen zip codes. We know that geographical proximity helps collaboration, but some UCSF researchers are comfortably working with collaborators all across the university, regardless of campus.

I used UCSF Profiles data to look at researchers who have co-authored publications since 2017 with other people currently at UCSF who have primary addresses in a different zip code. I skipped publications with more than 6 total co-authors, since it’s less likely that any two co-authors collaborated directly. (See the example at the end of this post.)

I expected most of the top cross-campus collaborators to be from Epidemiology & Biostatistics, UCSF’s most internally collaborative department—but the list wasn’t as lopsided as I expected.

The list

  • Isabel Elaine Allen (Epidemiology & Biostatistics) has, since 2017, co-authored 6 qualifying papers with UCSF people spread across 8 other ZIP codes
  • Patricia O’Sullivan (Medicine) has, since 2017, co-authored 14 qualifying papers with UCSF people spread across 8 other ZIP codes
  • Martha Shumway (Psychiatry) has, since 2017, co-authored 7 qualifying papers with UCSF people spread across 6 other ZIP codes
  • Christine Ritchie (Medicine) has, since 2017, co-authored 8 qualifying papers with UCSF people spread across 6 other ZIP codes
  • Emily Finlayson (Surgery) has, since 2017, co-authored 4 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Patrick Yuan (Epidemiology & Biostatistics) has, since 2017, co-authored 3 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Jason Satterfield (Medicine) has, since 2017, co-authored 4 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Youngho Seo (Radiology) has, since 2017, co-authored 5 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Rebecca Sudore (Medicine) has, since 2017, co-authored 4 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Christy Boscardin (Medicine) has, since 2017, co-authored 7 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Gabriela Schmajuk (Medicine) has, since 2017, co-authored 7 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Jinoos Yazdany (Medicine) has, since 2017, co-authored 7 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Bridget O’Brien (Medicine) has, since 2017, co-authored 6 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Mary Whooley (Medicine) has, since 2017, co-authored 5 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Amber Bahorik (Psychiatry) has, since 2017, co-authored 10 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Derek Satre (Psychiatry) has, since 2017, co-authored 11 qualifying papers with UCSF people spread across 5 other ZIP codes
  • John Boscardin (Medicine) has, since 2017, co-authored 9 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Kirsten Bibbins-Domingo (Epidemiology & Biostatistics) has, since 2017, co-authored 10 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Michael Matthay (Medicine) has, since 2017, co-authored 11 qualifying papers with UCSF people spread across 5 other ZIP codes
  • Eric Vittinghoff (Epidemiology & Biostatistics) has, since 2017, co-authored 21 qualifying papers with UCSF people spread across 5 other ZIP codes

Extended example

  • A (in 94158) co-authors a paper with UCSF colleague B (in 94117) and non-UCSF person C
  • A co-authors another paper with UCSF colleagues D (in 94110) and E (in 94158, the same as A)
  • A co-authors one more paper with ten co-authors — which doesn’t qualify, because we only care about papers with 2-6 total co-authors
  • A has therefore co-authored 2 qualifying papers with UCSF people spread across 2 other ZIP codes.

Photo: Philip Leara, public domain


Top 20 UCSF departments for junior/senior faculty collaboration

Some UCSF departments do a better job of fostering collaboration between junior and senior faculty members. Using UCSF Profiles data, I looked at co-authorship patterns among current faculty at departments across UCSF, to see which departments have the highest rate of junior-senior collaborations. (Caveat: Departments can have different sizes, faculty experience mixes, and field-specific publishing patterns, so comparisons are always imperfect.)

Method

  1. I used UCSF Profiles to identity current UCSF faculty (title includes the words “Professor,” “Dean,” or “Chancellor”) with at least 5 publications, and at least 3 years of publishing experience (i.e. time between the earliest and latest publications). I assigned faculty to departments using their current primary departmental affiliation, and considered only those departments with 20 such faculty members.
  2. In each department, I sorted the faculty by seniority using, in order, title (e.g. “Professor” outranks “Assistant Professor”), number of publications, and length of publishing experience. I then selected the 25% most junior and 25% most senior faculty from each department, and considered every possible junior-senior pair. (So for a department of 40 people, I’d pick out 10 junior, and 10 senior faculty, for a total of 100 junior-senior combinations).
  3. For each of these combinations, I checked if there exists at least one publication where both the junior and senior faculty members are listed as co-authors. For example, if there was a department of 12 faculty members, I’d pick the 3 most junior (A, B, C) and 3 most senior (X, Y, Z); if A and X have been co-authors on 1 publication, and B and Y on 3 publications, then there have been 2 unique junior/senior co-authorship pairs, of 9 possible.

The top 20 departments

  1. Urology • 43%
    the 10 most junior and 10 most senior faculty have 43 unique junior/senior co-authorship pairs, of 100 possible
  2. Physiological Nursing • 35%
    the 7 most junior and 7 most senior faculty have 17 unique junior/senior co-authorship pairs, of 49 possible
  3. Radiation Oncology • 34%
    the 8 most junior and 8 most senior faculty have 22 unique junior/senior co-authorship pairs, of 64 possible
  4. Neurological Surgery • 30%
    the 15 most junior and 15 most senior faculty have 67 unique junior/senior co-authorship pairs, of 225 possible
  5. Orofacial Sciences • 22%
    the 8 most junior and 8 most senior faculty have 14 unique junior/senior co-authorship pairs, of 64 possible
  6. Preventive & Restorative Dental Sciences • 20%
    the 12 most junior and 12 most senior faculty have 29 unique junior/senior co-authorship pairs, of 144 possible
  7. Cellular Molecular Pharmacology • 19%
    the 6 most junior and 6 most senior faculty have 7 unique junior/senior co-authorship pairs, of 36 possible
  8. Orthopaedic Surgery • 18%
    the 16 most junior and 16 most senior faculty have 46 unique junior/senior co-authorship pairs, of 256 possible
  9. Family Community Medicine • 16%
    the 10 most junior and 10 most senior faculty have 16 unique junior/senior co-authorship pairs, of 100 possible
  10. Pathology • 15%
    the 16 most junior and 16 most senior faculty have 39 unique junior/senior co-authorship pairs, of 256 possible
  11. Family Health Care Nursing • 14%
    the 7 most junior and 7 most senior faculty have 7 unique junior/senior co-authorship pairs, of 49 possible
  12. Laboratory Medicine • 14%
    the 13 most junior and 13 most senior faculty have 24 unique junior/senior co-authorship pairs, of 169 possible
  13. Cardiovascular Research Institute • 14%
    the 6 most junior and 6 most senior faculty have 5 unique junior/senior co-authorship pairs, of 36 possible
  14. Radiology • 13%
    the 35 most junior and 35 most senior faculty have 157 unique junior/senior co-authorship pairs, of 1225 possible
  15. Bioengineering • 12%
    the 8 most junior and 8 most senior faculty have 8 unique junior/senior co-authorship pairs, of 64 possible
  16. Institute for Health Aging • 12%
    the 8 most junior and 8 most senior faculty have 8 unique junior/senior co-authorship pairs, of 64 possible
  17. Otolaryngology • 12%
    the 11 most junior and 11 most senior faculty have 15 unique junior/senior co-authorship pairs, of 121 possible
  18. Pharmaceutical Chemistry • 11%
    the 8 most junior and 8 most senior faculty have 7 unique junior/senior co-authorship pairs, of 64 possible
  19. Neurology • 10%
    the 42 most junior and 42 most senior faculty have 173 unique junior/senior co-authorship pairs, of 1764 possible
  20. Dermatology • 10%
    the 12 most junior and 12 most senior faculty have 14 unique junior/senior co-authorship pairs, of 144 possible

Photo: CTSI at UCSF

RNS SEO 2016: How 90 research networking sites perform on Google — and what that tells us

RNS SEO 2015 header

Research networking systems (RNS) like Vivo, Profiles, and Pure are often sometimes undiscoverable by real users because of poor search engine optimization (SEO).

Last year, we released RNS SEO 2015, the first-ever report describing how RNS performs in terms of real-world discoverability on Google.

We re-ran our analysis for 2016, to see which of 90 different research networking sites has the highest proportion of their people pages among the top 3 search results on Google.

1. Methodology

  • Pick 90 different VIVO, Profiles, Pure, and custom RNS websites
  • Retrieve a large number of people page URLs (via sitemaps, crawling)
  • Grab 100 random people names and URLs from each site
  • For each name, search Google for PersonName InstitutionName
    • e.g. “Jane Doe Harvard”
  • Count what % have pages come up in the top 3

2. Results

  1. Brown 93% [VIVO] [under official domain]
  2. University of California, San Francisco 90% [Profiles] [under official domain]
  3. University of Colorado Profiles 87% [Profiles] [under official domain]
  4. Stephenson Cancer Center 87% [Pure]
  5. Mayo Clinic 85% [Pure]
  6. University of Bristol 84% [Pure] [under official domain]
  7. Royal Holloway, University of London 83% [Pure] [under official domain]
  8. University of Stirling 83% [Custom] [under official domain]
  9. King’s College London 80% [Pure] [under official domain]
  10. Oregon Health & Science University 78% [Pure]
  11. University of the Highlands and Islands 76% [Pure] [under official domain]
  12. University of Melbourne 76% [Custom] [under official domain]
  13. Lancaster University 73% [Pure] [under official domain]
  14. University of New Mexico 72% [VIVO] [under official domain]
  15. Queen’s University Belfast 71% [Pure] [under official domain]
  16. University of Strathclyde 70% [Pure] [under official domain]
  17. University of St. Andrews 70% [Pure] [under official domain]
  18. Northern Arizona University 69% [Pure]
  19. Duke 69% [VIVO] [under official domain]
  20. MD Anderson Cancer Center 68% [Pure]
  21. University of Michigan 64% [Pure] [under official domain]
  22. UT Health Science Center at San Antonio 60% [Pure] [under official domain]
  23. University of Texas at Tyler 59% [Pure] [under official domain]
  24. University of York 59% [Pure] [under official domain]
  25. The University of Texas at Austin 56.% [Pure] [under official domain]
  26. Medical College of Wisconsin 56.% [Custom] [under official domain]
  27. Boston University 55.% [Profiles] [under official domain]
  28. Northwestern University 55.% [Pure] [under official domain]
  29. University of Texas at San Antonio 51% [Pure] [under official domain]
  30. University of Dundee 50% [Pure] [under official domain]
  31. University of Minnesota 50% [Pure] [under official domain]
  32. Heriot-Watt University, Edinburgh 49% [Pure] [under official domain]
  33. UT Southwestern Medical Center 48% [Pure] [under official domain]
  34. Johns Hopkins University 48% [Pure]
  35. University of Miami 46% [Pure]
  36. University of Arizona 46% [Pure]
  37. University of Nebraska 45% [Pure]
  38. University of Utah 44% [Pure]
  39. Michigan State University 44% [Pure] [under official domain]
  40. University of Texas of the Permian Basin 44% [Pure] [under official domain]
  41. Wake Forest Baptist Medical Center 42% [Profiles] [under official domain]
  42. University of Massachusetts 41% [Profiles] [under official domain]
  43. The University of Texas at Dallas 40% [Pure] [under official domain]
  44. UT Health Northeast 40% [Pure] [under official domain]
  45. Scripps 39% [VIVO] [under official domain]
  46. Case Western Reserve University 39% [Pure]
  47. Augusta University 38% [Pure]
  48. Western Michigan University 38% [Pure]
  49. University of Texas Medical Branch at Galveston 38% [Pure] [under official domain]
  50. University of Illinois at Chicago 36% [Pure]
  51. Houston Methodist 35% [Pure] [under official domain]
  52. Albert Einstein College of Medicine 33% [Pure]
  53. University of Edinburgh 33% [Pure] [under official domain]
  54. University of Florida 32% [VIVO] [under official domain]
  55. Arizona State University 31% [Pure]
  56. University of Texas Arlington 30% [Pure] [under official domain]
  57. Stanford University 30% [Custom] [under official domain]
  58. Thomas Jefferson University 29.% [Profiles] [under official domain]
  59. The University of Texas at El Paso 28.% [Pure] [under official domain]
  60. Cornell 28.% [VIVO] [under official domain]
  61. University of Rochester 26% [Profiles] [under official domain]
  62. New York University 23% [Pure]
  63. University of Iowa 23% [Custom] [under official domain]
  64. Clemson University College 22% [Pure]
  65. Baylor College of Medicine 20% [Profiles]
  66. Indiana University School of Medicine 18% [Pure]
  67. Wayne State University 18% [Pure] [under official domain]
  68. University of Texas Health Science Center at Houston 17% [Pure] [under official domain]
  69. University of South Africa 12% [Pure]
  70. University of Idaho 10% [VIVO] [under official domain]
  71. Dartmouth 9% [VIVO] [under official domain]
  72. Griffith 8% [Custom] [under official domain]
  73. George Washington University 4% [VIVO] [under official domain]
  74. Tufts 4% [Profiles] [under official domain]
  75. US Department of Agriculture 3% [VIVO] [under official domain]
  76. University of Montana 2% [VIVO]
  77. East Carolina University 1% [VIVO] [under official domain]
  78. Texas A&M 0% [VIVO] [under official domain]
  79. Boise State 0% [VIVO]
  80. University of Hawai‘i 0% [VIVO]
  81. Idaho State 0% [VIVO]
  82. Montana State University 0% [VIVO]
  83. New Mexico State 0% [VIVO]
  84. University of Alaska Anchorage 0% [VIVO]
  85. UCLA School of Medicine 0% [Custom] [under official domain]
  86. University of Nevada, Las Vegas 0% [VIVO]
  87. University of Nevada, Reno 0% [VIVO]
  88. University of Pennsylvania 0% [VIVO] [under official domain]
  89. University of Wyoming 0% [VIVO]
  90. Virginia Commonwealth University 0% [VIVO] [under official domain]

3. Conclusions

Which software has the best real-world SEO performance?

Average scores by platform

  • Pure = 50%
  • Profiles RNS = 44%
  • Custom = 39%
  • VIVO = 15%

Average scores, by use of official vs. other domain

  • Official domain? (e.g. vivo.cornell.edu)
    average score = 44%
  • Other domain? (e.g. stephenson.pure.elsevier.com)
    average score = 30%

Average scores by platform, taking domain names into account (where n >= 5)

  • Pure + Institutional Domain = 53%
  • Profiles + Institutional Domain = 47%
  • Pure + other domain = 45%
  • Profiles + other domain = 35%*
  • Custom + Institutional Domain = 39%
  • VIVO + Institutional Domain = 26%
  • VIVO + other domain = 18%*

* includes some data from 2015 survey

Does getting lots of incoming links help?

It appears to. The top 10 sites have a median 560 linking root domains — one of several metrics related to incoming link diversity mentioned in the Moz Search Engine Ranking Factors 2015.

The correlation between linking root domains and search rankings holds true across our dataset:

RNS SEO 2016 root linking domains

4. How do you increase your site’s search rankings?

Read our helpful guides:

RNS SEO: How 52 research networking sites perform on Google, and what that tells us

Research networking systems (RNS) like Vivo, Profiles, SciVal, and Pure are meant to be used — but often fail to be discoverable by real users because of poor search engine optimization (SEO).

That’s why we’re releasing RNS SEO 2015, the first-ever report describing how RNS performs in terms of real-world discoverability on Google.

Continue reading

UCSF Profiles Team Invited to Geneva, Switzerland

The UCSF Profiles Team got more international attention for its enhancements to the Profiles product and the level of engaged users last year. Over the past several months, the Special Program for Research and Training in Tropical Diseases (TDR) has been in talks with UCSF Profiles to gain insight and plan an approach to create a system that will show and track their researchers’ work around the globe. TDR is a global collaborative program sponsored by the United Nations Children’s Fund (UNICEF), the United Nations Development Program (UNDP), the World Bank and World Health Organization (WHO). Continue reading

We’ve completed our NSF Grant! UCSF Profiles and its use by external partners

UCSF Profiles is an example of a Research networking system (RNS). These systems provide automated aggregation and mining of information to create profiles and networks of the people that make up an academic institution. RNS’s have in effect, become a new kind of ‘front door’ for the university, providing access to the university’s intellectual capital in a manner previously unattainable — i.e. one focused on expertise rather than schools or departments, thus intermingling experts regardless of where they’re officially housed. Against this backdrop, we wanted to understand how such a tool might enhance access to academic expertise by external partners, specifically industry, and improve UCSF’s response to industry interest. Continue reading

SEO for Research Networking: How to boost Profiles/VIVO traffic by an order of magnitude

"Redwoods" by Michael Balint (cc-by)

The UCSF Profiles team has increased site usage by over an order of magnitude since the site’s big campus-wide launch in 2010. This “growth hacking” cheat sheet distills the key lessons learned during that period, and can be applied to almost any research networking platform, including VIVO, Profiles, and home-grown solutions. Continue reading

UCSF Profiles coauthorship networks, by degree

We’re using UCSF Profiles data to explore whether co-authorship networks are a good way to show the connections between researchers at UCSF.

We can start off by looking at immediate co-authorship connections. I was surprised at how few current UCSF co-authors most users have. The flip side of co-authoring widely outside of one’s institution is that there are fewer internal co-authors:

Avg # contacts, 1 degree away

Continue reading

UCSF dentistry co-authorships, internal vs. external (by institutions)

What does a typical UCSF publication look like, in terms of the number of internal co-authors vs. the number of external co-authoring institutions? Here’s a breakdown among dentistry-related publications by UCSF researchers published in 2013. (This is the same analysis as yesterday, but looking at the number of external institutions, vs. the number of external people.)

Again, I was surprised to see so many co-authorships between a single UCSF researcher and one or researchers from one or more external institutions (the very top row of results), which accounts for 52% of the papers we looked at.

UCSF vs External Co-Authoring InstitutionsView as PDF Continue reading