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JASIST@Mendeley Revisited
Judit Bar-Ilan
Department of Information Science
Bar-Ilan University
Research objectives:
To study:
• Mendeley’s coverage of JASIST articles over time
• Readership counts over time
• Why JASIST?
2
Data collection
• All JASIST articles published between 2001 and 2011
and indexed by Web of Science were retrieved
• Info on a few missing articles was filled in manually
• Missing DOIs were supplied
• Citation data from WOS, Scopus and GS were collected
twice, once in 2012 and once in 2014
3
Mendeley searches
• In April 2012 and August 2013 all the searches were
conducted manually through the website
• Title searches
• Special characters excluded
• ? “ : & …
• Search results matched against full title and author
• Seemingly wrong publication source was double checked
(DOI or abstract)
• Readership counts of multiple records for a given article
were combined
4
Mendeley searches (2)
• In 2014 we used Mike Thelwall’s Webometric Analyst
(http://lexiurl.wlv.ac.uk/) for title searches
• Carefully compared with manual searches
6
JASIST 2001-2011
• 1645 articles
7
# articles on Mendeley % of total (1645) Total readers
Apr-12 1,600 97.3% 16,436
Aug-13 1,540 93.6% 24,851
Apr-14 1,453 88.3% 32,968
May-14 1,607 97.7% 39,635
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
Apr-12
May-12
Jun-12
Jul-12
Aug-12
Sep-12
Oct-12
Nov-12
Dec-12
Jan-13
Feb-13
Mar-13
Apr-13
May-13
Jun-13
Jul-13
Aug-13
Sep-13
Oct-13
Nov-13
Dec-13
Jan-14
Feb-14
Mar-14
Apr-14
May-14
Total readers
1,350
1,400
1,450
1,500
1,550
1,600
1,650 Apr-12
May-12
Jun-12
Jul-12
Aug-12
Sep-12
Oct-12
Nov-12
Dec-12
Jan-13
Feb-13
Mar-13
Apr-13
May-13
Jun-13
Jul-13
Aug-13
Sep-13
Oct-13
Nov-13
Dec-13
Jan-14
Feb-14
Mar-14
Apr-14
May-14
# articles on Mendeley
Readership counts – closer look
• For 1102 out of the 1645 articles (67%) readership
counts increased monotonously
• Only 6 articles were never located
• All six were cited more than once
• 543 non-monotonous cases
• Maximum decrease in readership count: 240
• “The link-prediction problem for social networks”
• Identical title in conference proceedings and in JASIST
• Wrong source attribution is sometimes the source of large changes in
readership counts
• Other case: found through title search in April 2014, not retrieved in May
2014, but found through URL saved in April – retrieval problems?
• All items not located in April or May 2014 were double
and triple checked 9
April 2012 vs. May 2014
• April 2012: 1600 out of 1645 articles
• May 2014: 1607 out of 1645 articles
• Are the same articles missing from both sets?
• Only 6 identical articles!
• The six that were never retrieved
• The 45 articles not found in April 2012:
• 320 readers in May 2014
• Most read article is from 2010 with 63 readers in May 2014
• The 38 articles not found in May 2014
• 325 readers in April 2012
• Most read article is from 2007 with 44 readers in April 2012 and
67 readers in August 2013
10
What happens with readership
counts over time?
• Users who bookmark the specific item and include it in
their Mendeley library
• What happens when the user deletes her account?
• What happens when the user deletes an item from her library?
• And if she later bookmarks the same item again???
• How do these actions influence the readership counts?
• The clustering process run from time to time by
Mendeley also affects readership counts
• Attribution of publication source
11
Two approaches
1. Once a reader always a reader
– This should result in non-decreasing readership counts
2. Only current readers are readers
– This can explain fluctuations in the counts
• A mixture of the two is also possible
– Deleted account deletes all records
– Deleted items in an existing account do not decrease reader
counts
12
Suggested solution
• Provide the number of readers of the item per month
• Total number of unique readers who bookmarked the item
• This would greatly increase Mendeley’s value as an
altmetric
• Easier to report the number of Mendeley readers with a
timestamp
• Allow to study interest trends, assuming that users delete items
they do not find interesting
• In any case a transparent and consistent solution is
needed
13
JASIST@Mendeley revisited - altmetrics14

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JASIST@Mendeley revisited - altmetrics14

  • 1. JASIST@Mendeley Revisited Judit Bar-Ilan Department of Information Science Bar-Ilan University
  • 2. Research objectives: To study: • Mendeley’s coverage of JASIST articles over time • Readership counts over time • Why JASIST? 2
  • 3. Data collection • All JASIST articles published between 2001 and 2011 and indexed by Web of Science were retrieved • Info on a few missing articles was filled in manually • Missing DOIs were supplied • Citation data from WOS, Scopus and GS were collected twice, once in 2012 and once in 2014 3
  • 4. Mendeley searches • In April 2012 and August 2013 all the searches were conducted manually through the website • Title searches • Special characters excluded • ? “ : & … • Search results matched against full title and author • Seemingly wrong publication source was double checked (DOI or abstract) • Readership counts of multiple records for a given article were combined 4
  • 5.
  • 6. Mendeley searches (2) • In 2014 we used Mike Thelwall’s Webometric Analyst (http://lexiurl.wlv.ac.uk/) for title searches • Carefully compared with manual searches 6
  • 7. JASIST 2001-2011 • 1645 articles 7 # articles on Mendeley % of total (1645) Total readers Apr-12 1,600 97.3% 16,436 Aug-13 1,540 93.6% 24,851 Apr-14 1,453 88.3% 32,968 May-14 1,607 97.7% 39,635
  • 9. Readership counts – closer look • For 1102 out of the 1645 articles (67%) readership counts increased monotonously • Only 6 articles were never located • All six were cited more than once • 543 non-monotonous cases • Maximum decrease in readership count: 240 • “The link-prediction problem for social networks” • Identical title in conference proceedings and in JASIST • Wrong source attribution is sometimes the source of large changes in readership counts • Other case: found through title search in April 2014, not retrieved in May 2014, but found through URL saved in April – retrieval problems? • All items not located in April or May 2014 were double and triple checked 9
  • 10. April 2012 vs. May 2014 • April 2012: 1600 out of 1645 articles • May 2014: 1607 out of 1645 articles • Are the same articles missing from both sets? • Only 6 identical articles! • The six that were never retrieved • The 45 articles not found in April 2012: • 320 readers in May 2014 • Most read article is from 2010 with 63 readers in May 2014 • The 38 articles not found in May 2014 • 325 readers in April 2012 • Most read article is from 2007 with 44 readers in April 2012 and 67 readers in August 2013 10
  • 11. What happens with readership counts over time? • Users who bookmark the specific item and include it in their Mendeley library • What happens when the user deletes her account? • What happens when the user deletes an item from her library? • And if she later bookmarks the same item again??? • How do these actions influence the readership counts? • The clustering process run from time to time by Mendeley also affects readership counts • Attribution of publication source 11
  • 12. Two approaches 1. Once a reader always a reader – This should result in non-decreasing readership counts 2. Only current readers are readers – This can explain fluctuations in the counts • A mixture of the two is also possible – Deleted account deletes all records – Deleted items in an existing account do not decrease reader counts 12
  • 13. Suggested solution • Provide the number of readers of the item per month • Total number of unique readers who bookmarked the item • This would greatly increase Mendeley’s value as an altmetric • Easier to report the number of Mendeley readers with a timestamp • Allow to study interest trends, assuming that users delete items they do not find interesting • In any case a transparent and consistent solution is needed 13