rAltmetric v0.03 - Pulling In Depth Responses


I’m having trouble connecting the Altmetric api w/ R. I can perform the two major functions (altmetrics()) and (altmetric_data()) with no problem. However, is there a way to get more info than what I’m currently getting (which would be what is documented on the rAltmetrics OpenSci and GH: http://ropensci.github.io/rAltmetric/) when I perform a call. The information I’m referring to is in this sample api response: https://help.altmetric.com/support/solutions/articles/6000086844-sample-api-response. It includes more in-depth information about an article. Am I missing something important? I have an api key as well, but it produces the same results. Thank you for your help in advance!

Here’s what I have so far:


url  <- "https://api.altmetric.com/v1/"
key <- “myKey"

altmetric_data(altmetrics(pmid = "/21148220",
          apikey = getOption(“myKey")))

path <- “should this be included?"

I don’t want R to automatically turn character strings in factors variables, so I turned this feature off:

options(stringsAsFactors = FALSE)


Hi @JasJaxon

Sorry for the delay. I realized it’s been so many years since I wrote rAltmetric and the infrastructure underlying it is so dated. I just pushed a substantial update to the package (I have not finished the generic plot method but that’s not critical).

So reinstall the package first:


Version should be rAltmetric * 0.7.9000

Then run

df <- altmetrics(pmid = "21148220") %>% altmetric_data 

will reveal more than 80 fields.

[1] "title"                                     
[2] "doi"                                       
[3] "pmid"                                      
[4] "pmc"                                       
[5] "tq1"                                       
[6] "tq2"                                       
[7] "tq3"                                       
[8] "tq4"                                       
[9] "tq5"                                       
[10] "altmetric_jid"                             
[11] "issns1"                                    
[12] "issns2"                                    
[13] "journal"                                   
[14] "cohorts.doc"                               
[15] "cohorts.pub"                               
[16] "cohorts.com"                               
[17] "cohorts.sci"                               
[18] "abstract"                                  
[19] "abstract_source"                           
[20] "context.all.count"                         
[21] "context.all.mean"                          
[22] "context.all.rank"                          
[23] "context.all.pct"                           
[24] "context.all.higher_than"                   
[25] "context.journal.count"                     
[26] "context.journal.mean"                      
[27] "context.journal.rank"                      
[28] "context.journal.pct"                       
[29] "context.journal.higher_than"               
[30] "context.similar_age_3m.count"              
[31] "context.similar_age_3m.mean"               
[32] "context.similar_age_3m.rank"               
[33] "context.similar_age_3m.pct"                
[34] "context.similar_age_3m.higher_than"        
[35] "context.similar_age_journal_3m.count"      
[36] "context.similar_age_journal_3m.mean"       
[37] "context.similar_age_journal_3m.rank"       
[38] "context.similar_age_journal_3m.pct"        
[39] "context.similar_age_journal_3m.higher_than"
[40] "type"                                      
[41] "altmetric_id"                              
[42] "schema"                                    
[43] "is_oa"                                     
[44] "publisher_subjects.name"                   
[45] "publisher_subjects.scheme"                 
[46] "cited_by_fbwalls_count"                    
[47] "cited_by_feeds_count"                      
[48] "cited_by_gplus_count"                      
[49] "cited_by_posts_count"                      
[50] "cited_by_qna_count"                        
[51] "cited_by_tweeters_count"                   
[52] "cited_by_accounts_count"                   
[53] "last_updated"                              
[54] "score"                                     
[55] "history.1y"                                
[56] "history.6m"                                
[57] "history.3m"                                
[58] "history.1m"                                
[59] "history.1w"                                
[60] "history.6d"                                
[61] "history.5d"                                
[62] "history.4d"                                
[63] "history.3d"                                
[64] "history.2d"                                
[65] "history.1d"                                
[66] "history.at"                                
[67] "url"                                       
[68] "added_on"                                  
[69] "published_on"                              
[70] "subjects"                                  
[71] "scopus_subjects1"                          
[72] "scopus_subjects2"                          
[73] "readers.citeulike"                         
[74] "readers.mendeley"                          
[75] "readers.connotea"                          
[76] "readers_count"                             
[77] "images.small"                              
[78] "images.medium"                             
[79] "images.large"                              
[80] "details_url" 

Is this what you were looking for?

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Hello Karthik,

I do appreciate your response. Yes, this a more detailed response, however,
no it does not contain the fields I was looking for.
I was not sure if the package produced responses similar to those from the
api’s documentation. I am looking for twitter timestamps for multiple
articles, like the response here, for example: https://api.altmetric.com/docs/call_fetch.html

Thank you.

Hi @JasJaxon
Sorry I missed this. I’ll update the package again shortly to see if I can grab these additional metrics.

1 Like