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Rare Cancers and Social Media: Analysis of Twitter Metrics in the First 2 Years of a Rare-Disease Community for Myeloproliferative Neoplasms on Social Media—#MPNSM

Overview of attention for article published in Current Hematologic Malignancy Reports, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 345)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
39 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Rare Cancers and Social Media: Analysis of Twitter Metrics in the First 2 Years of a Rare-Disease Community for Myeloproliferative Neoplasms on Social Media—#MPNSM
Published in
Current Hematologic Malignancy Reports, November 2017
DOI 10.1007/s11899-017-0421-y
Pubmed ID
Authors

Naveen Pemmaraju, Audun Utengen, Vikas Gupta, Jean-Jacques Kiladjian, Ruben Mesa, Michael A. Thompson

Abstract

The use of social media has now become a standard 13 means of communication for many individuals worldwide. 14 The use of one specific form of social media, Twitter, has 15 increased among healthcare providers, both as a means of 16 information gathering and as a conduit for original content 17 creation. Recently, major efforts by users have been put for- 18 ward to help streamline the unprecedented amount of infor- 19 mation that can be found on Twitter. These efforts have led to 20 the creation of diseasespecific hashtag (#) medical communi- 21 ties and have greatly enhanced the ability to understand and 22 better categorize the available data on Twitter. Specifically, for 23 those involved in rare cancer fields, adhering to organically 24 designed and consistently used hashtags has led to the rapid, 25 reliable dissemination of information and the ability to effi- 26 ciently discuss and debate topics of interest in the field. For the 27 field of myeloproliferative neoplasms (MPNs), the creation of #MPNSM (myeloproliferative neoplasms on social media) in 28 2015 has facilitated interactions among healthcare stake- 29 holders from all over the world in the MPN field. In order to 30 better understand the trends and topics of interest to Twitter 31 users of this novel medical community, we conducted the 32 present analysis which focuses on Twitter analytics from the 33 first two years of #MPNSM. In this analysis, we observed a 34 sustained increase in the number of Twitter users, number of 35 tweets, number of impressions, and number of retweets over 36 time, demonstrating the feasibility of creating and maintaining 37 a disease-specific hashtag for a rare cancer over time.

Twitter Demographics

The data shown below were collected from the profiles of 39 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Student > Master 4 11%
Student > Doctoral Student 4 11%
Researcher 4 11%
Student > Bachelor 3 8%
Other 12 32%
Unknown 6 16%
Readers by discipline Count As %
Medicine and Dentistry 11 29%
Social Sciences 4 11%
Psychology 4 11%
Nursing and Health Professions 3 8%
Computer Science 2 5%
Other 5 13%
Unknown 9 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 November 2020.
All research outputs
#922,999
of 17,083,063 outputs
Outputs from Current Hematologic Malignancy Reports
#6
of 345 outputs
Outputs of similar age
#29,048
of 329,118 outputs
Outputs of similar age from Current Hematologic Malignancy Reports
#1
of 22 outputs
Altmetric has tracked 17,083,063 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 345 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,118 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.